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Keywords = low-strength soils

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18 pages, 2852 KiB  
Article
Assessment of the Influence of Formation Conditions of Embankments and Spoil Heaps on Their Stability When Dumped on Clay-Salt Slurries
by Maxim Karasev and Tatsiana Astapenka
Eng 2025, 6(1), 2; https://doi.org/10.3390/eng6010002 - 26 Dec 2024
Viewed by 300
Abstract
The formation of geotechnical structures on foundations composed of low-strength soils is associated with a number of risks and difficulties. Soils such as clay-salt slurries are characterized by low bearing capacity and a tendency to deform under load. In this study, a numerical [...] Read more.
The formation of geotechnical structures on foundations composed of low-strength soils is associated with a number of risks and difficulties. Soils such as clay-salt slurries are characterized by low bearing capacity and a tendency to deform under load. In this study, a numerical simulation of the stability analysis of an embankment constructed on low-strength soils consisting of clay-salt slurries is carried out, and the study of the dependence of the stability and behavior of the embankment on the configuration of this foundation, without taking into account the embedment of rocks and with introduction of rocks into the geotechnical system, is considered. The results prove that the sloping configuration of low-strength soils greatly complicates the stability of the embankment. It is noted that the stability factor is significantly reduced under the influence of loads on low-strength soil, particularly when the geotechnical system has a configuration with slope angles of 5° and 10°, and, in addition, when rocks are embedded in low-strength soil if the underlying soil layer is a weak foundation. In view of this, the assessment of embankment stability on clay-salt slurries requires careful analysis due to a number of specific characteristics of these soils that create complex geotechnical conditions. Full article
(This article belongs to the Section Chemical, Civil and Environmental Engineering)
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Figure 1
<p>Configuration of the models of the considered geotechnical system without consideration of the embedment of dry rocks into low-strength soils (<b>a</b>) and with their partial introduction (<b>b</b>).</p>
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<p>Graph of the Ksf stability factor for the slurry of deposit No. 1 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for the slurry of deposit No. 1 at a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the stability factor Ksf for sludge of deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt sludge, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurry). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the stability factor Ksf for sludge of deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt sludge, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurry). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for slurries of deposit No. 2 at a depth of 10 mn ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries).</p>
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<p>Graph of the Ksf stability factor for models with partial embedding of deposit No. 1 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for models with partial embedment of deposit No. 1 with a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for models with partial embedment for deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
Full article ">Figure 8 Cont.
<p>Graph of the Ksf stability factor for models with partial embedment for deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the stability factor Ksf for models with partial embedment for deposit No. 2 with a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the stability factor Ksf for models with partial embedment for deposit No. 2 with a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Display of slip surface depending on conditions and configuration ((<b>a</b>)—horizontal low-strength soils 5 m deep, (<b>b</b>)—horizontal low-strength soils 10 m deep, (<b>c</b>)—inclined low-strength soils 5 m deep and inclination angle 5°, (<b>d</b>)—inclined occurrence of low-strength soils 10 m deep and inclination angle of 5°, (<b>e</b>)—inclined occurrence of low-strength soils 5 m deep and inclination angle of 10°, (<b>f</b>)—inclined occurrence of low-strength soils 10 m deep and inclination angle of 10°).</p>
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19 pages, 4588 KiB  
Article
A New Yield Surface for Cemented Paste Backfill Based on the Modified Structured Cam-Clay
by Amin Safari, Abbas Taheri and Murat Karakus
Minerals 2025, 15(1), 4; https://doi.org/10.3390/min15010004 - 24 Dec 2024
Viewed by 270
Abstract
Cemented paste backfill (CPB) is a cemented void filling method gaining popularity over traditional hydraulic or rockfill methods. As mining depth increases, CPB-filled stopes are subjected to higher confining pressures. Due to the soil triaxial apparatus limitations, as the conventional method of triaxial [...] Read more.
Cemented paste backfill (CPB) is a cemented void filling method gaining popularity over traditional hydraulic or rockfill methods. As mining depth increases, CPB-filled stopes are subjected to higher confining pressures. Due to the soil triaxial apparatus limitations, as the conventional method of triaxial testing on CPB, no confining pressures higher than 5 MPa can be applied to CPB over a range of curing time. This lack of data introduces uncertainty in predicting CPB behavior, potentially leading to an overestimation of the required strength. To address this, this study introduces a new testing method that allows for higher confinement beyond traditional limitations by modifying the Hoek triaxial cell to accommodate low-strength materials. This study then investigates the coupled influence of confining pressure and curing time (hydration) on CPB characteristics, specifically examining the impacts of different curing times and confining pressures on the mechanical and rheological properties of CPB. A total of 75 triaxial tests were conducted using 42 mm cylinder shape samples at five various curing times from 7 to 96 days, and applied at low and high confinement condition levels (0.5 to 30 MPa). The results reveal that hydration and confinement positively impact the CPB strength. The modified structured Cam-Clay model was selected to predict the behavior, and its yield surface was updated using the experimental results. The proposed yield model can be utilized to describe CPB material subjected to various curing and pressure conditions underground. Full article
(This article belongs to the Special Issue Cemented Mine Waste Backfill: Experiment and Modelling: 2nd Edition)
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Figure 1
<p>The distribution of particle sizes of tailing material.</p>
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<p>Preparation process. (<b>a</b>) Sample before molding; (<b>b</b>) Sample after unmolding.</p>
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<p>Testing system. (<b>a</b>) Hoek cell setup for triaxial test including two linear variable differential transformers; (<b>b</b>) The modified flexible membrane for Hoek cell beside the original membrane.</p>
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<p>CPB samples after the triaxial tests in 1 MPa confining pressure to compare the shear failure plane. (<b>a</b>) With Hoek cell using the original membrane; (<b>b</b>) With soil triaxial cell; (<b>c</b>) With Hoek cell using the modified membrane.</p>
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<p>Validation of oil volume measuring system to calculate the lateral strain.</p>
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<p>Axial stress–strain results of 7-day cured specimens with various confinements: (<b>a</b>) 1; (<b>b</b>) 5; (<b>c</b>) 10; (<b>d</b>) 20; and (<b>e</b>) 30 MPa.</p>
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<p>Axial stress–strain results of 14-day cured specimens with various confinements: (<b>a</b>) 500 KPa; (<b>b</b>) 1; (<b>c</b>) 5; (<b>d</b>) 10; (<b>e</b>) 20; (<b>f</b>) 30 MPa.</p>
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<p>Axial stress–strain results of 28-day cured specimens with various confinements: (<b>a</b>) 1; (<b>b</b>) 2; (<b>c</b>) 5; (<b>d</b>) 30 MPa.</p>
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<p>Axial stress–strain results of 56-day cured specimens with various confinements: (<b>a</b>) 1; (<b>b</b>) 3; (<b>c</b>) 5; (<b>d</b>) 7; (<b>e</b>) 10 MPa.</p>
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<p>Axial stress–strain results of 96-day cured specimens with various confinements: (<b>a</b>) 1; (<b>b</b>) 5; (<b>c</b>) 10; (<b>d</b>) 30 MPa.</p>
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<p>Yield Points in p-q for different curing times.</p>
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<p>MCC (destructured) and MSCC (structured) yield surfaces.</p>
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<p><span class="html-italic">p-q</span> graphs for different curing times. (<b>a</b>) 7 days; (<b>b</b>) 14 days; (<b>c</b>) 28 days; (<b>d</b>) 56 days; (<b>e</b>) 96 days.</p>
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<p><math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>p</mi> </mrow> <mrow> <mn>0</mn> </mrow> <mrow> <mo>′</mo> </mrow> </msubsup> <mo>,</mo> <mi>M</mi> <mo>,</mo> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">n</mi> <mi mathvariant="normal">d</mi> <mtext> </mtext> <msubsup> <mrow> <mi>p</mi> </mrow> <mrow> <mi>b</mi> </mrow> <mrow> <mo>′</mo> </mrow> </msubsup> </mrow> </semantics></math> trends for different curing times.</p>
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14 pages, 3806 KiB  
Article
Study on the Influence of Water Content on the Shear Behavior of the Soil–Structure Interface Under a Temperature Field
by Jian Chen, Hao Jiang, Yongde Liu, Yanting Wu, Xuan Zhang and Weidong Pan
Buildings 2025, 15(1), 1; https://doi.org/10.3390/buildings15010001 - 24 Dec 2024
Viewed by 363
Abstract
Energy piles are highly favored for their excellent, low energy consumption in providing heating for public residences. The temperature field changes the activity of the diffuse double electric layer (DEL) on the particle surface, thereby altering the distribution of the stress field in [...] Read more.
Energy piles are highly favored for their excellent, low energy consumption in providing heating for public residences. The temperature field changes the activity of the diffuse double electric layer (DEL) on the particle surface, thereby altering the distribution of the stress field in the soil and ultimately affecting the mechanical properties of the interface between the energy pile and the soil. Therefore, studying the influence of water content on the mechanical behavior of the soil–structure interface in the temperature field is crucial for energy pile safety. This study used a modified temperature-controlled direct shear apparatus to obtain the influence of water content and temperature on the shear behavior of the soil–structure interface. Then, the test results were analyzed and discussed. Finally, three results were obtained: (1) The water content of bentonite (wbent) had a significant impact on the shear stress–shear displacement curve of the soil–structure interface; when the wbent was less than the wp of the bentonite, the τ-l curve exhibited a softening response, then displayed a hardening response. (2) The shear strength of the soil–structure interface gradually decreased with the increase of wbent. (3) The shear strength of the soil–structure interface increased with increasing temperature under various wbent and vertical loads. Full article
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<p>Particle size distribution curve of the sand.</p>
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<p>Self-improved temperature-controlled direct shear apparatus: (<b>a</b>) instrument schematic diagram; (<b>b</b>) physical image.</p>
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<p>The <span class="html-italic">τ</span>-<span class="html-italic">l</span> relationship curve of different temperatures at different moisture contents: (<b>a</b>) w<sub>bent</sub> = 40%; (<b>b</b>) <span class="html-italic">w</span><sub>bent</sub> = 55%; (<b>c</b>) <span class="html-italic">w</span><sub>bent</sub> = 70%; (<b>d</b>) <span class="html-italic">w</span><sub>bent</sub> = 85%; (<b>e</b>) <span class="html-italic">w</span><sub>bent</sub> = 100%.</p>
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<p><span class="html-italic">τ</span><sub>max</sub>–<span class="html-italic">w</span><sub>bent</sub> curve of soil–structure interface: (<b>a</b>) P = 12.5 kPa; (<b>b</b>) P = 25 kPa; (<b>c</b>) P = 37.5 kPa; (<b>d</b>) P = 50 kPa.</p>
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<p>Shear envelope of soil–structure interface (<span class="html-italic">w</span><sub>bent</sub> = 100%).</p>
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<p>Relationship curve of <span class="html-italic">c</span><sub>i</sub>–<span class="html-italic">w</span><sub>bent</sub> of the soil–structure interface (CC = clay content).</p>
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<p>Relationship curve of <span class="html-italic">φ</span><sub>i</sub>–<span class="html-italic">w</span><sub>bent</sub> of soil–structure interface (R = roughness; T = temperature).</p>
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<p>Schematic diagram of the impact of <span class="html-italic">w</span><sub>bent</sub> changes on interfaces.</p>
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<p>The influence of temperature changes on the DEL.</p>
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20 pages, 8044 KiB  
Article
Method for the Mixing Design and Physical Characterization of Air-Foamed Lightweight Clay Concrete: A Response to the Issue of Recycling Dredged Sediments
by Agnès Zambon, Zoubir Mehdi Sbartaï and Nadia Sayouri
Materials 2024, 17(24), 6248; https://doi.org/10.3390/ma17246248 - 20 Dec 2024
Viewed by 402
Abstract
From both economic and environmental points of view, the reuse of dredged sediments in the direct onsite casting of concrete represents a promising method for replacing sand. The aim of this study was to develop a cementitious material that (i) reuses the thin [...] Read more.
From both economic and environmental points of view, the reuse of dredged sediments in the direct onsite casting of concrete represents a promising method for replacing sand. The aim of this study was to develop a cementitious material that (i) reuses the thin particles of sediments; (ii) has a low density due to the incorporation of air foam in the material; and (iii) achieves a minimum mechanical strength of 0.5 MPa for embankment applications. This study focused on the characterization of a non-standard “concrete”, which is a mixture of a synthetic soil (80% montmorillonite and 20% calibrated sand) and cement. To reduce its density, air foam was incorporated into the material during the manufacturing process (air-foamed lightweight clay concrete—AFLCC). The study results highlight that a density around 1.2 (unit: g/cm3/1 g/cm3) can be obtained. This density reduction can be obtained with a certain degree of workability when the material is in a fresh state. To obtain this workability, a certain amount of water must be added; however, the addition of water has a significant impact on the compressive strength of the AFLCC. As such, a mathematical equation correlating the compressive strength, the density, and the percentage of cement is proposed in this study. The mechanical strength results of the AFLCC at different times, in conjunction with the Vicat results, show that the porosity created by the air foam has the effect of slowing down the hydration mechanism of the cement. The porosities obtained are consistent with the density results. The characteristic radii indicate large pore sizes for formulations with low fluidity in the fresh state when air bubbles are incorporated. Full article
(This article belongs to the Section Construction and Building Materials)
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Figure 1
<p>Grading curve of the sand.</p>
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<p>Planetary rotation mixer.</p>
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<p>Steps for mixing mortar and air foam.</p>
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<p>Density according to the mixing time and mixing speed.</p>
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<p>Specimen under compressive test conditions and equipped with longitudinal strain sensors.</p>
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<p>Density according to w/w<sub>L</sub> for C = 18%.</p>
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<p>Relationship between k, the optimal value of w/w<sub>L</sub>, and the cement percentage C.</p>
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<p>Experimental results for the density, mechanical strength, and elastic modulus of each mix design.</p>
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<p>Relationship between stress and strain for each sample for a mix design of C = 18%, w/w<sub>L</sub> = 2, M = 50%.</p>
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<p>For C = 18%, the relationship between compressive strength fc and w/w<sub>L</sub> for each percentage of air foam M.</p>
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<p>For C = 18%, the relationship between E<sub>stat</sub> and the w/w<sub>L</sub> ratio for each percentage of air foam.</p>
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<p>Compressive strength at 7, 14, 28, and 90 days for the four mix designs.</p>
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<p>Relationship between compressive strength, density, and cement.</p>
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<p>Measured compressive strength with respect to the calculated strength.</p>
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<p>Raw images from X-ray tomography for the mix designs C = 12% w/w<sub>L</sub> = 1.6 M = 0% (<b>a</b>), C = 12% w/w<sub>L</sub> = 1.6 M = 50% (<b>b</b>), C = 18% w/w<sub>L</sub> = 2 M = 0% (<b>c</b>), and C = 18% w/w<sub>L</sub> = 2 M = 50% (<b>d</b>).</p>
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19 pages, 7741 KiB  
Article
Determination of Biomechanical Parameters and Development of an Improved FEM Model for Perennial Alfalfa (Medicago sativa L.) Roots
by Shuo Wang, Xuanting Liu, Hongyan Qi, Zihe Xu and Yunhai Ma
Agronomy 2024, 14(12), 3033; https://doi.org/10.3390/agronomy14123033 - 19 Dec 2024
Viewed by 322
Abstract
Grassland degradation and reduced yields are often linked to the root soil composite of perennial alfalfa roots. This study introduces a novel modeling approach to accurately characterize root biomechanical properties, assist in the design of soil-loosening and root-cutting tools. Our model conceptualizes the [...] Read more.
Grassland degradation and reduced yields are often linked to the root soil composite of perennial alfalfa roots. This study introduces a novel modeling approach to accurately characterize root biomechanical properties, assist in the design of soil-loosening and root-cutting tools. Our model conceptualizes the root as a composite structure of cortex and stele, applying transversely isotropic properties to the stele and isotropic properties to the cortex. Material parameters were derived from longitudinal tension, longitudinal compression, transverse compression, and shear tests. The constitutive model of stele was Hashin failure criteria, accounting for differences in tensile and compressive strengths. Results reveal that root tensile strength mainly depends on the stele, with its tensile properties exceeding compressive and transverse strengths by 4–10 times. In non-longitudinal tensile stress scenarios, like shear and transverse compression tests, the new model demonstrated superior accuracy over conventional models. Results of shear tests were further validated using non-parametric statistical analysis. This study provides a finite element method (FEM) modeling approach that, by integrating root anatomical features and biomechanical properties, significantly enhances simulation accuracy. This provides a tool for designing low-energy consumption components in grassland degradation restoration and conservation tillage. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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<p>(<b>a</b>) Cross-sectional of alfalfa root; (<b>b</b>) schematic diagram illustrating root structure and stress components distribution.</p>
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<p>Root material parameters acquisition test apparatus: (<b>a</b>) integral test device; (<b>b</b>) longitudinal tensile test module; (<b>c</b>) longitudinal compression test module; (<b>d</b>) transverse compression test module.</p>
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<p>Transverse compression deformation of the stele.</p>
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<p>Operation flow of the user subroutine VUMAT.</p>
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<p>Root mesh sensitivity tests: longitudinal tensile failure force and computation time.</p>
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<p>Fitting curve of stele and root diameter.</p>
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<p>The relationship between longitudinal parameters and diameter of stele: (<b>a</b>) compressive elasticity modulus; (<b>b</b>) compressive strength.</p>
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<p>The relationship between tensile parameters and diameter: (<b>a</b>) elastic modulus of stele; (<b>b</b>) tensile strength of stele; (<b>c</b>) elastic modulus of cortex; (<b>d</b>) tensile strength of cortex.</p>
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<p>Processing flow of the transverse compression test of stele (<b>a</b>) before compression and (<b>b</b>) after compression.</p>
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<p>The relationship between transverse compressive parameter and diameter of stele: (<b>a</b>) compressive elasticity modulus; (<b>b</b>) compressive strength.</p>
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<p>Comparison between the prediction curve and the experimental data in stele transverse compression test.</p>
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<p>Results of three-point bending and SC test: (<b>a</b>) fitting curve of <span class="html-italic">1/E<sub>S</sub></span> and <math display="inline"><semantics> <mrow> <mrow> <mrow> <msubsup> <mi>d</mi> <mi>s</mi> <mn>2</mn> </msubsup> </mrow> <mo>/</mo> <mrow> <msup> <mi>L</mi> <mn>2</mn> </msup> </mrow> </mrow> </mrow> </semantics></math>; (<b>b</b>) shear strength.</p>
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<p>Root tensile test results: (<b>a</b>) relationship between elastic modulus and diameter; (<b>b</b>) relationship between tensile strength and diameter.</p>
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<p>Comparison of the simulation (VUMAT, Beam, and Solid) and experimental (Experiment) curves: (<b>a</b>) LT of stele; (<b>b</b>) LC of stele; (<b>c</b>) TC of stele; (<b>d</b>) LT of cortex.</p>
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<p>The distribution of simulation (VUMAT, beam, and solid) results for different diameter levels within the confidence and prediction intervals of experimental (Experiment) results: (<b>a</b>) LT; (<b>b</b>) LC; (<b>c</b>) TC.</p>
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<p>SC simulation (VUMAT, beam, and solid) and experiment results of root: (<b>a</b>) shear force curves comparison; (<b>b</b>) distribution of failure shear force; (<b>c</b>) distribution of failure shear displacement.</p>
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<p>The results of Mann–Whitney non-parametric test for SC tests: (<b>a</b>) shear force; (<b>b</b>) shear displacement.</p>
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16 pages, 6483 KiB  
Article
Research on the Mechanical Properties of EPS Lightweight Soil Mixed with Fly Ash
by Lifang Mei, Yiwen Huang and Dali Xiang
Polymers 2024, 16(24), 3517; https://doi.org/10.3390/polym16243517 - 18 Dec 2024
Viewed by 335
Abstract
Expanded polystyrene (EPS) bead–lightweight soil composites are a new type of artificial geotechnical material with low density and high strength. We applied EPS bead–lightweight soil in this project, replacing partial cement with fly ash to reduce construction costs. EPS beads were used as [...] Read more.
Expanded polystyrene (EPS) bead–lightweight soil composites are a new type of artificial geotechnical material with low density and high strength. We applied EPS bead–lightweight soil in this project, replacing partial cement with fly ash to reduce construction costs. EPS beads were used as a lightweight material and cement and fly ash as curing agents in the raw soil were used to make EPS lightweight soil mixed with fly ash. The EPS bead proportions were 0.5%, 1%, 1.5%, and 2%; the total curing agent contents were 10%, 15%, 20%, and 25%; and the proportions of fly ash replacing cement were 0%, 15%, 30%, 45%, and 60%, respectively. Unconfined compressive strength (UCS) and scanning electron microscopy (SEM) tests were conducted. The results showed that the EPS content, total curing agent content, and proportion of fly ash replacing cement had a significant impact on the UCS of the lightweight soil. This decreased with an increase in EPS content and decrease in total curing agent content and decreased with increased proportions of fly ash replacing cement. When the proportion of fly ash replacing cement was not too high, the strength of the lightweight soil decreased less, and its performance still met engineering needs. At the same time, the soil can also consume fly ash and reduce environmental pollution. EPS lightweight soil mixed with fly ash still has advantages, and it is recommended to keep the proportion of fly ash replacing cement less than 30%. The failure patterns for lightweight soil mainly include splitting failure, oblique shear failure, and bulging failure, which are related to the material mix ratio. Full article
(This article belongs to the Section Polymer Processing and Engineering)
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<p>Raw soil.</p>
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<p>EPS beads.</p>
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<p>The grain-size curve of EPS beads.</p>
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<p>The grain-size curve of fly ash.</p>
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<p>Effect of EPS content on the density of lightweight soil.</p>
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<p>Unconfined stress–strain curve for raw soil.</p>
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<p>Effect of EPS content on stress–strain curve.</p>
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<p>Effect of total curing agent content on stress–strain curves.</p>
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<p>Effect of fly ash on stress–strain curves.</p>
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<p>Effect of EPS content on unconfined compressive strength.</p>
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<p>Effect of total curing agent content on unconfined compressive strength.</p>
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<p>Effect of fly ash on unconfined compressive strength.</p>
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<p>Unconfined compressive-strength simulation value.</p>
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<p>Failure patterns of lightweight soil with different material ratios.</p>
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<p>Microscopic pictures of lightweight soil at different magnifications.</p>
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<p>Microscopic pictures of lightweight soil with different proportions of cement replaced with fly ash.</p>
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15 pages, 12983 KiB  
Article
Study on the Macro-/Micrometric Characteristics and Mechanical Properties of Clayey Sandy Dredged Fill in the Guangdong Area
by Qiunan Chen, Xiaodi Xu, Ao Zeng, Yunyang Yan, Yan Feng, Kun Long and Chenna Qi
Materials 2024, 17(23), 6018; https://doi.org/10.3390/ma17236018 - 9 Dec 2024
Viewed by 401
Abstract
The study of dredged fill in Guangdong (GD), China, is of great significance for reclamation projects. Currently, there are relatively few studies on dredged fill in Guangdong, and there are many differences in the engineering characteristics of dredged fill foundations formed through land [...] Read more.
The study of dredged fill in Guangdong (GD), China, is of great significance for reclamation projects. Currently, there are relatively few studies on dredged fill in Guangdong, and there are many differences in the engineering characteristics of dredged fill foundations formed through land reclamation and natural foundations. In order to have a more comprehensive understanding of the physico-mechanical properties of blowing fill in the coastal area of GD and to understand the effect of its long-term creep row on the long-term settlement and deformation of buildings, the material properties, microstructure, elemental composition, triaxial shear properties, and triaxial creep properties of dredged fill in Guangdong were studied and analyzed through indoor geotechnical tests, scanning electron microscopy (SEM), X-ray diffraction (XRD), and conventional triaxial shear tests and triaxial creep tests. The test results showed that the Guangdong dredged fill is characterized by a high water content, high pore ratio, and high-liquid-limit clayey sand, and the mineral composition is dominated by quartz and whitmoreite. The scanning electron microscopy results showed that the particles of the dredged fill showed an agglomerated morphology, and the surface of the test soil samples had scaly fine flakes and a fragmented structure. In the triaxial shear test, the GD dredged fill showed strain hardening characteristics, and the effective stress path showed continuous loading characteristics; the consolidated undrained shear test showed that the GD dredged fill had shear expansion characteristics under low-perimeter-pressure conditions. It was found that, with an increase in bias stress, the axial strain in the consolidated undrained triaxial creep test under the same perimeter pressure conditions gradually exceeded the axial strain in the consolidated drained triaxial creep test. The results of this study are of theoretical and practical significance for further understanding the mechanical properties of silty soils in the region and for the rational selection of soil strength parameters in practical engineering design. Full article
(This article belongs to the Special Issue Rock-Like Material Characterization and Engineering Properties)
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<p>Soil extraction site.</p>
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<p>Dredged fill.</p>
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<p>XRD pattern.</p>
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<p>Elemental analysis of soil samples.</p>
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<p>Soil samples magnified 4000 times.</p>
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<p>Soil samples magnified 10,000 times.</p>
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<p>GDS triaxial stress path test.</p>
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<p>Triaxial creep test instrument and a tested soil sample.</p>
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<p>CU shear test results.</p>
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<p>CU shear test results.</p>
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<p>CD shear test results.</p>
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<p>Shear end CU test specimens.</p>
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<p>Shear end CD test specimens.</p>
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<p>Full CU and CD triaxial creep results.</p>
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<p>CU triaxial graded-loading creep curve.</p>
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<p>CU triaxial graded-loading creep curve.</p>
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<p>CD triaxial graded-loading creep curve.</p>
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13 pages, 13368 KiB  
Article
Effects of Low-Molecular-Weight Organic Acids on the Transport of Polystyrene Nanoplastics in Saturated Goethite-Coated Sand Columns
by Feiyu Chen, Xiaocheng Peng, Xiaocheng Liu, Biaodian Chen, Lidong Chen, Taotao Lu and Yi Gong
Water 2024, 16(23), 3500; https://doi.org/10.3390/w16233500 - 5 Dec 2024
Viewed by 446
Abstract
The widespread use of nanoplastics inevitably contributes to pollution in aquatic environments and soils. Therefore, it is crucial to understand how these particles migrate in soils with diverse organic matter. This study investigated the effects of low-molecular-weight organic acids (LMWOAs) on the migration [...] Read more.
The widespread use of nanoplastics inevitably contributes to pollution in aquatic environments and soils. Therefore, it is crucial to understand how these particles migrate in soils with diverse organic matter. This study investigated the effects of low-molecular-weight organic acids (LMWOAs) on the migration of polystyrene nanoplastics (PS-NPs) in goethite-coated quartz sand. The experiments utilized two organic acids, propanoic acid (PA) and tartaric acid (TA), under varying aqueous conditions, including pH levels (4.0, 7.0), ionic strengths (1 mM, 10 mM), and cations (Na+, Ca2+, Ba2+). The experimental results indicated that with the presence of Na⁺, organic acids promoted the migration of PS-NPs through electrostatic forces and steric hindrance, with TA having a greater effect than PA. When pH < pHpzc, increased concentrations of positively charged goethite coating provided favorable deposition sites for the negatively charged PS-NPs, thereby increasing their deposition. Using the DLVO theory, low pH and high ionic strength (IS) decreased the energy barriers between PS-NPs and porous media, whereas high pH and low IS increased these barriers, thus enhancing PS-NPs transport. Divalent cations Ca2+ and Ba2+ enhanced the migration of PS-NPs through complex-forming and -bridging agents. These findings offered significant insights for predicting and analyzing the migration behavior of plastic nanoparticles. Full article
(This article belongs to the Special Issue Environmental Fate and Transport of Organic Pollutants in Water)
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<p>The SEM and EDS analysis of (<b>a</b>) goethite-coated sand and (<b>b</b>) pure quartz sand and the SEM analysis of (<b>c</b>) PS-NPs in aqueous solution containing TA.</p>
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<p>Breakthrough curves (BTCs) of PS-NPs at varying <span class="html-italic">θ</span> ranging from 0 to 0.25 are depicted (the specific details <span class="html-italic">θ</span> = 0 are described in our previous study [<a href="#B29-water-16-03500" class="html-bibr">29</a>]). All BTCs were produced under the same conditions, with a pH of 4.0 and an ionic strength (IS) of 10 mM NaCl. Error bars stand for the standard deviation across two replicates.</p>
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<p>Impacts of various LMWOAs on PS-NPs transport at 10mM NaCl (<span class="html-italic">θ</span> = 0.1): (<b>a</b>) pH 4.0 and (<b>b</b>) pH 7.0. Error bars stand for the standard deviation across two replicates.</p>
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<p>Impacts of various LMWOAs on the PS-NPs migration of varying cation species (1 mM CaCl<sub>2</sub> and BaCl<sub>2</sub>; <span class="html-italic">θ</span> = 0.1; pH 4.0): (<b>a</b>,<b>c</b>) breakthrough curves and (<b>b</b>,<b>d</b>) relative calculated DLVO theory. Error bars stand for the standard deviation across two replicates. Insets are plotted with a reduced <span class="html-italic">y</span>-axis scale to emphasize the secondary energy minimum.</p>
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<p>Impacts of diverse LMWOAs on PS-NPs migration at 1 mM NaCl (<span class="html-italic">θ</span> = 0.1, pH 4.0): (<b>a</b>) BTCs and (<b>b</b>) relative calculated DLVO interaction energy profiles. Error bars stand for the standard deviation across two replicates. Insets are plotted with a reduced <span class="html-italic">y</span>-axis scale to emphasize <span class="html-italic">θ</span><sub>min</sub>.</p>
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15 pages, 2266 KiB  
Article
Optimizing Cement Content in Controlled Low-Strength Soils: Effects of Water Content and Hydration Time
by Yilian Luo, Liangwei Jiang, Libing Qin, Qiang Luo, David P. Connolly and Tengfei Wang
Materials 2024, 17(23), 5915; https://doi.org/10.3390/ma17235915 - 3 Dec 2024
Viewed by 546
Abstract
The Ethylene Diamine Tetra-acetic Acid (EDTA) titration test is widely used for determining cement content, but its reliability is influenced by the hydration process of cement, which is affected by factors such as water content and hydration time. Despite their importance, these factors [...] Read more.
The Ethylene Diamine Tetra-acetic Acid (EDTA) titration test is widely used for determining cement content, but its reliability is influenced by the hydration process of cement, which is affected by factors such as water content and hydration time. Despite their importance, these factors have received limited attention in existing research. This study explores the relationships between the volume of titrant required for stabilization, cement content, water content, and hydration time. Using a regression orthogonal test, the primary and secondary relationships, as well as the interdependencies among these factors, are analyzed. Results reveal a negative linear relationship between the titrant volume and both water content and hydration time. Cement content, water content, and hydration time are identified as the most significant factors, with minimal interdependencies observed. Within the test parameters, calculated values exhibit an error margin below 2.4%. Deviations of 2.9% in water content and 86 min in hydration time correspond to an approximate 0.5% change in cement content. These findings offer valuable insights for optimizing cement content detection in Controlled Low-Strength Material (CLSM) mixes, promoting more sustainable construction practices. Full article
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<p>EDTA titration test: (<b>a</b>) Procedure; (<b>b</b>) Reagent preparation; (<b>c</b>) Phenomena observed during testing.</p>
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<p>Orthogonal experimental design.</p>
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<p>Relationship between volume of titrant used (<span class="html-italic">V</span>) and cement content (<span class="html-italic">C</span>).</p>
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<p>Relationship between volume of titrant used (<span class="html-italic">V</span>) and water content (<span class="html-italic">W</span>).</p>
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<p>Relationship between volume of titrant used (<span class="html-italic">V</span>) and hydration time (<span class="html-italic">T</span>).</p>
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<p>Variation in cement content detection error (Δ<span class="html-italic">c</span>) with changes in water content (Δ<span class="html-italic">w</span>) and hydration time (Δ<span class="html-italic">t</span>).</p>
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16 pages, 1225 KiB  
Article
Soil Strength Parameters for the Sustainable Design of Unsupported Cuts Under Drained Conditions Using Reliability Analysis
by Flávio Rogério, Nuno Guerra, Armando Antão and Mário Vicente da Silva
Sustainability 2024, 16(23), 10596; https://doi.org/10.3390/su162310596 - 3 Dec 2024
Viewed by 451
Abstract
Unsupported excavations are frequently performed in several geological and geotechnical projects, particularly for constructing roads and railways, and they are often carried out in different materials. The design of such cuts in soils needs the determination of representative values of its mechanical properties, [...] Read more.
Unsupported excavations are frequently performed in several geological and geotechnical projects, particularly for constructing roads and railways, and they are often carried out in different materials. The design of such cuts in soils needs the determination of representative values of its mechanical properties, particularly of the strength parameters, and the application of adequate safety factors. The procedure should ensure a sustainable design of those cuts, allowing for economical solutions that guarantee a low probability of geological–geotechnical failure. This paper assesses the reliability of unsupported cuts in soils, under drained conditions, assuming a Mohr–Coulomb strength criterion. Statistical meshes are generated considering the spatial variability of the friction angle and of the true effective cohesion, which are assumed to be uncorrelated. In this process, typical values of the coefficients of variation and of the horizontal and vertical scales of fluctuation are applied. Soil characterisation is simulated in each statistical mesh, and the characteristic values of the strength parameters are determined using statistical methods. Unsupported cuts of different heights and inclinations are designed using typical safety factors. Slope stability analyses are carried out using Random Finite Element Limit Analysis. The uncertainty in the actions is considered, and the probability of failure is determined by direct reliability analysis. The results show the relevance of the ratio between the scale of fluctuation and the excavation depth, the slope inclination, and the characteristic value of the soil strength parameters on the probability of failure. Values of adequate safety factors are proposed towards obtaining an appropriate probability of failure, compatible with the sustainable design of the cuts. Full article
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<p>Geometry of the unsupported cut and soil properties; the unit weight causing collapse, <math display="inline"><semantics> <mi>γ</mi> </semantics></math>, is determined by the finite element calculations.</p>
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<p>Overview of the methodology.</p>
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<p>Example of a statistical mesh sample of <math display="inline"><semantics> <msup> <mi>c</mi> <mo>′</mo> </msup> </semantics></math> (<b>a</b>) and <math display="inline"><semantics> <msup> <mi>ϕ</mi> <mo>′</mo> </msup> </semantics></math> (<b>b</b>) spatially distributed, obtained for <math display="inline"><semantics> <mrow> <msubsup> <mi>c</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <mn>10</mn> <mspace width="0.166667em"/> <mi>kPa</mi> </mrow> </semantics></math>; <math display="inline"><semantics> <mrow> <msubsup> <mi>ϕ</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <msup> <mn>30</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>; <span class="html-italic">COV</span> equal to <math display="inline"><semantics> <mrow> <mn>0.3</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.1</mn> </mrow> </semantics></math>, respectively; <math display="inline"><semantics> <mrow> <msub> <mi>θ</mi> <mi>v</mi> </msub> <mo>=</mo> <mn>1</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>θ</mi> <mi>h</mi> </msub> <mo>=</mo> <mn>30</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, superposed by geometries of the unsupported cuts with different depths.</p>
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<p>Example of finite element meshes for the FELA calculations: Figure (<b>a</b>) shows the initial finite element mesh and Figure (<b>b</b>) shows the last step of the remeshing process and the maximum distortion, determined for an upper-bound calculation.</p>
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<p>Example of finite element meshes showing the values of <math display="inline"><semantics> <msup> <mi>c</mi> <mo>′</mo> </msup> </semantics></math> (<b>a</b>,<b>c</b>) and of <math display="inline"><semantics> <msup> <mi>ϕ</mi> <mo>′</mo> </msup> </semantics></math> (<b>b</b>,<b>d</b>) mapped from the statistical mesh. Figures (<b>a</b>,<b>b</b>) show the initial finite element mesh; Figures (<b>c</b>,<b>d</b>) show the finite element mesh at the final remeshing stage. Results obtained for <math display="inline"><semantics> <mrow> <msubsup> <mi>c</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <mn>10</mn> <mspace width="0.166667em"/> <mi>kPa</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msubsup> <mi>ϕ</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <msup> <mn>30</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>, <span class="html-italic">COV</span> equal to <math display="inline"><semantics> <mrow> <mn>0.3</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>0.1</mn> </mrow> </semantics></math>, respectively, <math display="inline"><semantics> <mrow> <msub> <mi>θ</mi> <mi>v</mi> </msub> <mo>=</mo> <mn>1</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>θ</mi> <mi>h</mi> </msub> <mo>=</mo> <mn>30</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>h</mi> <mo>=</mo> <mn>10</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <msup> <mn>75</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>.</p>
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<p>Example of finite element mesh showing the maximum distortion, determined for an upper-bound calculation. Figure (<b>a</b>) shows the mesh undeformed, and Figure (<b>b</b>) shows the deformed mesh. Results are for the same case for <a href="#sustainability-16-10596-f005" class="html-fig">Figure 5</a>.</p>
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<p>Cumulative distribution function of <span class="html-italic">F</span>, for <math display="inline"><semantics> <mrow> <mi>h</mi> <mo>=</mo> <mn>10</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <msup> <mn>75</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msubsup> <mi>ϕ</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <msup> <mn>30</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msubsup> <mi>c</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <mn>10</mn> <mspace width="0.166667em"/> <mi>kPa</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mo>≠</mo> <mn>0</mn> </mrow> </semantics></math>, the 1st scenario, and assuming <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>/</mo> <mi mathvariant="sans-serif-italic">ℓ</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> in Equation (<a href="#FD3-sustainability-16-10596" class="html-disp-formula">3</a>).</p>
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<p>Probability of failure as a function of <math display="inline"><semantics> <mrow> <msub> <mo>Θ</mo> <mi>v</mi> </msub> <mo>=</mo> <msub> <mi>θ</mi> <mi>v</mi> </msub> <mo>/</mo> <mi>h</mi> </mrow> </semantics></math>, for <math display="inline"><semantics> <mrow> <msubsup> <mi>ϕ</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <msup> <mn>30</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msubsup> <mi>c</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <mn>10</mn> <mspace width="0.166667em"/> <mi>kPa</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>β</mi> <mo>=</mo> <msup> <mn>75</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>, three values of <span class="html-italic">h</span>—5, 10, and <math display="inline"><semantics> <mrow> <mn>20</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>—and for the 1st and 2nd scenarios: <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>/</mo> <mi mathvariant="sans-serif-italic">ℓ</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (<b>a</b>) and <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>/</mo> <mi mathvariant="sans-serif-italic">ℓ</mi> <mo>=</mo> <msub> <mo>Θ</mo> <mi>v</mi> </msub> </mrow> </semantics></math> (<b>b</b>).</p>
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<p>Probabilities of failure obtained for <math display="inline"><semantics> <mrow> <msub> <mi>θ</mi> <mi>v</mi> </msub> <mo>=</mo> <mn>1</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>θ</mi> <mi>h</mi> </msub> <mo>=</mo> <mn>30</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, different values of <math display="inline"><semantics> <msubsup> <mi>ϕ</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> </semantics></math> with <span class="html-italic">COV</span> equal to 0.15, <math display="inline"><semantics> <mrow> <msubsup> <mi>c</mi> <mrow> <mi>m</mi> <mi>g</mi> </mrow> <mo>′</mo> </msubsup> <mo>=</mo> <mn>10</mn> <mspace width="0.166667em"/> <mi>kPa</mi> </mrow> </semantics></math> with <span class="html-italic">COV</span> equal to 0.30, different geometries, 1st and 2nd scenarios, and assuming in Equations (<a href="#FD3-sustainability-16-10596" class="html-disp-formula">3</a>) and (<a href="#FD4-sustainability-16-10596" class="html-disp-formula">4</a>) that <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>/</mo> <mi mathvariant="sans-serif-italic">ℓ</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (<b>a</b>,<b>c</b>,<b>e</b>) and <math display="inline"><semantics> <msub> <mo>Θ</mo> <mi>v</mi> </msub> </semantics></math> (<b>b</b>,<b>d</b>,<b>f</b>).</p>
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<p>Probability of failure for a 1.25 to 1.50 range of partial factors of safety, for <math display="inline"><semantics> <mrow> <mi>h</mi> <mo>=</mo> <mn>5</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msup> <mi>ϕ</mi> <mo>′</mo> </msup> <mo>=</mo> <msup> <mn>30</mn> <mo>∘</mo> </msup> </mrow> </semantics></math>, the 2nd scenario, cases <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>/</mo> <mi mathvariant="sans-serif-italic">ℓ</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (*) and <math display="inline"><semantics> <mrow> <mi>θ</mi> <mo>/</mo> <mi mathvariant="sans-serif-italic">ℓ</mi> <mo>=</mo> <msub> <mo>Θ</mo> <mi>v</mi> </msub> </mrow> </semantics></math> (**).</p>
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18 pages, 4775 KiB  
Review
Clay-Based Materials for Heavy Metals Adsorption: Mechanisms, Advancements, and Future Prospects in Environmental Remediation
by Pengsheng Wang, Xinkai Shen, Shusheng Qiu, Long Zhang, Yanping Ma and Jinbao Liang
Crystals 2024, 14(12), 1046; https://doi.org/10.3390/cryst14121046 - 30 Nov 2024
Viewed by 897
Abstract
Given the severe threats posed by heavy metal pollution to ecological environments and human health, developing effective remediation technologies is of paramount importance. This review delves into the mechanisms, recent advancements, and future prospects of clay mineral-based materials in the adsorption of heavy [...] Read more.
Given the severe threats posed by heavy metal pollution to ecological environments and human health, developing effective remediation technologies is of paramount importance. This review delves into the mechanisms, recent advancements, and future prospects of clay mineral-based materials in the adsorption of heavy metals. Clay minerals such as kaolinite, montmorillonite, and bentonite have demonstrated immense potential for the removal of heavy metals from water and soil due to their natural abundance, low cost, and high efficiency. This article summarizes the latest advancements in the adsorption of heavy metals like chromium, copper, lead, cadmium, arsenic and hydrargyrum by clay minerals, while examining how chemical and physical modifications can enhance the adsorption capacity, selectivity, and stability of these minerals. Furthermore, this review discusses how factors such as pH, temperature, and ionic strength affect adsorption efficiency and outlines challenges and future research directions for optimizing clay-based adsorbents in environmental applications. Full article
(This article belongs to the Collection Topic Collection: Mineralogical Crystallography)
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<p>Clay mineral sheet, layer, and particle structures. (Reproduced from Liu et al., 2022 with permission [<a href="#B29-crystals-14-01046" class="html-bibr">29</a>]).</p>
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<p>Mechanisms of heavy metals and dyes removed by clay-based adsorbents: (<b>a</b>) Contaminants with O-, H-, N-, and F-groups form hydrogen bonds with -OH on the surface (like kaolinite) or edge (like montmorillonite) of the clay-based adsorbents. (<b>b</b>) Cationic contaminants replace the exchangeable cations in clay adsorbents via ion exchange. (<b>c</b>) Electropositive contaminants adsorbed onto the surface of electronegative clay-based adsorbents via electrostatic attraction. (<b>d</b>) Surface complexation occurs among heavy metal ions and surface functional groups on the adsorbent surface.</p>
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<p>Graphical representation of the process of heavy metal adsorption by clay minerals. Source: Adapted from (Uddin, 2017) [<a href="#B31-crystals-14-01046" class="html-bibr">31</a>].</p>
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<p>Interaction mechanisms of metal ions with clay mineral: (<b>a</b>) outer-sphere complex formation on basal surface, (<b>b</b>) outer-sphere complex formation on interlayer space, (<b>c</b>) inner-sphere complex formation on interlayer space, (<b>d</b>) complexation at a redox active site (Reproduced from Liu et al., 2022 with permission [<a href="#B29-crystals-14-01046" class="html-bibr">29</a>]).</p>
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<p>Factors of the adsorption reactions: (<b>a</b>) N<sub>2</sub> adsorption–desorption isotherms of raw and acid-activated kaolinite. (<b>b</b>) Zeta potential–pH behavior of raw and acid-activated kaolinite (1 wt%). (<b>c</b>) Effect of contact time on Cu(II) and Ni(II) adsorption at pH 7, 25 °C, 0.1 g/50 mL dosage, and 100 mg/L ion concentration. (<b>d</b>) Effect of pH on adsorption at 60 min under the same conditions. (<b>e</b>) Effect of adsorbent dosage on Cu(II) and Ni(II) adsorption. (<b>f</b>) Effect of initial ion concentration on adsorption under the same conditions. (Reproduced from Chai et al., 2020 with permission [<a href="#B51-crystals-14-01046" class="html-bibr">51</a>]).</p>
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<p>Schematic diagram of CdS/ATP composites’ preparation and pollutant treatment: (<b>a</b>) Schematic representation of the preparation process for CdS/ATP-T composite. (<b>b</b>) Diagrammatic illustration of the photocatalytic mechanism of CdS/ATP-T during the treatment process: Upon light irradiation, e<sup>−1</sup> in the valence band of CdS are excited to the conduction band, which has higher energy levels, leaving behind an equal number of holes (h<sup>+</sup>) in the valence band; Photogenerated e<sup>−1</sup> can reduce O<sub>2</sub> to produce superoxide anions (·O<sub>2</sub><sup>−</sup>), while holes (h⁺) can oxidize water (H<sub>2</sub>O) and hydroxide ions (−OH) to generate hydroxyl radicals (·OH). (Reproduced from Li et al., 2023 with permission [<a href="#B60-crystals-14-01046" class="html-bibr">60</a>]).</p>
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<p>Clay-mediated protection of Enterobacter sp. against Pb (II) stress. (Reproduced from Qi et al., 2022, with permission [<a href="#B74-crystals-14-01046" class="html-bibr">74</a>]).</p>
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<p>The adsorption of As, Cd, Cr, and Hg heavy metal atoms onto the illite (001)’s surface. (Reproduced from Qi et al., 2022 with permission [<a href="#B87-crystals-14-01046" class="html-bibr">87</a>]).</p>
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<p>Modified clay minerals for the remediation of mercury-contaminated rice soils [<a href="#B94-crystals-14-01046" class="html-bibr">94</a>].</p>
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19 pages, 8493 KiB  
Article
Effect of Alkaline Activated Cashew Nut Shell Ash in the Stabilization of Weak Clayey Soil—An Experimental Study
by Parthiban Devarajan, Dhanasingh Sivalinga Vijayan, Shanmuga Sundar Saravanabhavan, Arvindan Sivasuriyan, Naveen Sankaran, Theodoros Chrysanidis and Zineb Moujoud
Ceramics 2024, 7(4), 1836-1854; https://doi.org/10.3390/ceramics7040115 - 30 Nov 2024
Viewed by 669
Abstract
Weak clayey soils in construction are considered problematic due to their high compressibility and low bearing capacity. This study proposes an environmentally friendly replacement for conventional soil stabilizers through the use of geopolymer (GP) containing Cashew Nut Shell Ash (CNSA) to improve soil [...] Read more.
Weak clayey soils in construction are considered problematic due to their high compressibility and low bearing capacity. This study proposes an environmentally friendly replacement for conventional soil stabilizers through the use of geopolymer (GP) containing Cashew Nut Shell Ash (CNSA) to improve soil characteristics. In this study, the CNSAGP was compared with lime-stabilized soil for unconfined compressive strength (UCS), durability, and improved microstructure. The experimental outcomes showed that 9 M + CNSAGP with 4% CNSA provided a UCS of 1900 kPa, which was higher than the lime-stabilized soil (6% lime with 4% CNSA) at 1400 kPa. Durability test results revealed that the CNSAGP-treated sample had better protection against water damage with a strength loss of about 18%, while the lime-treated sample had a strength loss of about 25%. Thermal stability analysis showed that CNSAGP had lower LOI values compared to lime-stabilized samples (0.17% at 900 °C), which indicates CNSAGP’s heat resistance. Microstructure analysis revealed that CNSAGP-stabilized soil was less porous, the microstructure being denser because of reactions of aluminosilicate and pozzolanic activity. Moreover, it affected the soil’s alkalinity, making it better, and improved Atterberg limits, which affected the plasticity and workability. These findings show that CNSAGP is a long-lasting and eco-friendly means of soil stabilization with higher strength, thermal stability, and durability than traditional methods and can be used in engineering. Full article
(This article belongs to the Special Issue Ceramics in the Circular Economy for a Sustainable World)
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<p>(<b>a</b>). Particle size distribution of Collected Soil. (<b>b</b>). % Particle size of Collected Soil.</p>
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<p>Cashew Nut Shell ash.</p>
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<p>EDS of Cashew Nut Shell ash.</p>
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<p>Preparation of Alkaline activator.</p>
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<p>Preparation of Soil Specimen.</p>
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<p>Lime composition vs. 28 days average UCC Strength (kPa) of Stabilized Soil with and without CNSA.</p>
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<p>UCS of GP Stabilized soil under different Molarity with and without CNSA.</p>
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<p>Strength of Lime vs. CNSAGP stabilized soil.</p>
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<p>Stress–Strain Behavior of Stabilized soil specimen.</p>
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<p>Reduction strength due to capillary soaking.</p>
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<p>pH value of stabilized soil.</p>
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<p>% Atterberg Limits of Stabilized Soil.</p>
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<p>Loss of Ignition of Stabilized Soil.</p>
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<p>FESEM Analysis of Stabilized Soil (<b>a</b>) Plain Soil (<b>b</b>) Plain soil with 4% Lime (<b>c</b>) Plain soil with 6% Lime + 4% CNSA (<b>d</b>) Plain soil with 9 M GP + 2% CNSA (at 340×).</p>
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22 pages, 6085 KiB  
Article
Salinity Effects on the Physicochemical and Mechanical Behavior of Untreated and Lime-Treated Saline Soils
by Imed Benrebouh, Ilyas Hafhouf, Abdellah Douadi, Abdelghani Merdas, Abderrahim Meguellati and Paulina Faria
Minerals 2024, 14(12), 1217; https://doi.org/10.3390/min14121217 - 28 Nov 2024
Viewed by 432
Abstract
Improving saline soils’ properties by incorporating limes is a practical technique, generally due to cation exchange, pozzolanic reaction, and carbonation. This study explores how soil salinity, measured by electrical conductivity, affects untreated and lime-treated saline soils. An Algerian sebkha soil (from Ain M’lila) [...] Read more.
Improving saline soils’ properties by incorporating limes is a practical technique, generally due to cation exchange, pozzolanic reaction, and carbonation. This study explores how soil salinity, measured by electrical conductivity, affects untreated and lime-treated saline soils. An Algerian sebkha soil (from Ain M’lila) with an original high salinity (ECe3 = 23.2 dS.m−1) was used. The same soil was washed to create medium (ECe2 = 8.3 dS.m−1) and low (ECe1 = 2.32 dS.m−1) salinity soil samples. The results of this study indicate that salinity influenced the shape of the particle size distribution curve, particularly in the silt range. Salinity also had a significant effect on carbonate content (CaCO3) and unconfined compressive strength (UCS). For the untreated soil, when salinity decreased, the UCS and CaCO3 content increased. However, when salinity decreased for the treated soil, the UCS increased, while the CaCO3 content decreased. X-ray diffraction (XRD) analysis of untreated soils showed halite (NaCl) disappearance and gypsum (CaSO4 2H2O) reduction with decreasing salinity in ECe1. In treated soil at ECe3, these mineral phases remained constant. While XRD detected no new cementitious phases in treated ECe3 or ECe1 samples, thermogravimetric analysis confirmed the presence of portlandite in both. As Ain M’lila sebkha is a chloride–sulfate soil, the dissolution of the halite and gypsum phases released more Cl and SO42− ions into the interstitial solution. In a low fraction of clay, these ions obstructed and slowed the pozzolanic reaction in the ECe3 soil. Identifying the season when this type of soil has lower salinity can be beneficial for treatment from a technical, economic, and environmental point of view. Full article
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<p>Ain M’lila sebkha soil location.</p>
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<p>Ain M’lila sebkha soil: (<b>a</b>) white layer on sebkha’s surface; (<b>b</b>) sky survey state; (<b>c</b>) sebkha profile; (<b>d</b>) mineralogy of soluble salts.</p>
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<p>Chemical composition by XRF (<b>a</b>) and mineralogical composition by XRD (<b>b</b>) of sebkha soil ECe3.</p>
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<p>Sample preparation: (<b>a</b>) soil crystals and aggregates; (<b>b</b>) washing process by numerical order.</p>
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<p>Lime and salinity impact on the pH of solutions.</p>
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<p>Dietrich–Frühling calcimeter.</p>
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<p>CaCO<sub>3</sub> content of ECe1, ECe2, and ECe3 soil by calcimeter.</p>
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<p>Grain distribution curves of ECe1, ECe2, and ECe3 soils (<b>a</b>); mineralogic composition of ECe1 and ECe3 soils by XRD (<b>b</b>); chemical composition of ECe1 and ECe3 soils by XRF (<b>c</b>).</p>
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<p>Stress–strain curves of ECe1, ECe2, and ECe3 soils (<b>a</b>), UCS at different salinity levels (<b>b</b>).</p>
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<p>Damage caused on sebkha surface by wheels.</p>
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<p>CaCO<sub>3</sub> content of untreated and treated ECe1, ECe2, and ECe3 soils by calcimeter.</p>
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<p>Salinity effects on the stress–strain curves of untreated and lime-treated soils at different curing periods (0 d, 3 d, 7 d, 14 d, and 28 d): (<b>a</b>) ECe1 soil, (<b>b</b>) ECe2 soil, and (<b>c</b>) ECe3 soil.</p>
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<p>Mineralogy composition by XRD of untreated and treated soil samples: (<b>a</b>) ECe3 soil and (<b>b</b>) ECe1 soil.</p>
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<p>Loss of mass by TGA of untreated ECe3 and ECe1 soils (<b>a</b>); dehydration of gypsum (<b>b</b>), decomposition of calcite (<b>c</b>), and melting of halite (<b>d</b>).</p>
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<p>Losses of mass by TGA of untreated and treated ECe3 (<b>a</b>) and ECe1 (<b>b</b>) soils and dehydration of portlandite (<b>c</b>).</p>
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21 pages, 10237 KiB  
Article
Eco-Friendly Improvement of Comprehensive Engineering Properties of Collapsible Loess Using Guar Gum Biopolymer
by Yuesong Zheng, Tianhao Li, Daokun Qi, Xiaojuan Xi, Fengzu Peng, Shijun Ding, Zhibao Nie, Xin Hu, Gaowen Zhao, Bo Xiao, Yake Tang and Wenhui Wang
Buildings 2024, 14(12), 3804; https://doi.org/10.3390/buildings14123804 - 28 Nov 2024
Viewed by 436
Abstract
Collapsible loess is characterized by its unique soil-forming environment, mineral composition, and microstructure, resulting in poor engineering properties such as high water sensitivity, high collapsibility, high compressibility, and low strength. To improve the poor engineering properties of collapsible loess, we selected a suitable [...] Read more.
Collapsible loess is characterized by its unique soil-forming environment, mineral composition, and microstructure, resulting in poor engineering properties such as high water sensitivity, high collapsibility, high compressibility, and low strength. To improve the poor engineering properties of collapsible loess, we selected a suitable eco-friendly material—guar gum (GG)—for its improvement and reinforcement, and investigated the improvement effect of different GG dosages (0.5~1.5%) and curing ages (0~28 days) on collapsible loess. The mechanical properties of soil samples were determined by direct shear tests, unconfined compressive strength tests, and splitting tests. The water stability of soil samples was evaluated by both cube and sphere crumb tests. SEM and EDS analyses were also conducted to determine the microstructural and mineral changes in soil. The results indicate that the incorporation of GG is beneficial to inhibit the collapsibility of the soil and improves the water stability and strength of the soil. The collapsibility coefficient of loess is reduced to below 0.015 when 0.75% and above of GG is admixed, which is considered a complete loss of its collapsibility. When the GG dosage increases from 0% to 1.25%, the compressive strength and tensile strength of the soil samples increase by 43.5% and 34.9%, respectively. However, by further increasing the GG dosage to 1.5%, the compressive strength and tensile strength decrease by 3.8% and 6% compared to those with 1.25% GG. This indicates that the strength of the specimens shows an increasing trend and then a decreasing trend with the increase in GG dosage, and 1.25% GG was found to be the best modified dosage. Microstructural and mineral analyses indicate that the addition of GG does not change the mineral composition of loess, but, rather, it significantly promotes the agglomeration and bonding of soil particles through cross-linking with Ca2+ ions in the soil to form a biopolymer network, thus achieving a reliable reinforcement effect. Compared with the existing traditional stabilizers, GG is a sustainable and eco-friendly modified material with a higher low-carbon value. Therefore, it is very necessary to mix GG into collapsible loess to eliminate some of the poor engineering properties of loess to meet engineering needs. This study can provide test support for the application and promotion of GG-modified loess in water agriculture and road engineering. Full article
(This article belongs to the Special Issue Sustainable and Low-Carbon Building Materials in Special Areas)
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<p>Compaction curve.</p>
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<p>Distribution curve of collapsible loess particle size.</p>
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<p>GG and its chemical structure formula.</p>
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<p>CSC and RSSC test specimens: (<b>a</b>) RSSC test; (<b>b</b>) CSC test.</p>
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<p>Shear strength of different soil samples.</p>
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<p>Cohesion and internal friction angle of different soil samples.</p>
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<p>UCS and TS of different soil samples.</p>
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<p>Disintegration process of different specimens.</p>
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<p>Disintegration photos of different specimens: (<b>a</b>) RSSC test; (<b>b</b>) CSC test.</p>
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<p>Disintegration area of different specimens: (<b>a</b>) RSSC test; (<b>b</b>) CSC test.</p>
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<p>Disintegration fractal dimension of different specimens: (<b>a</b>) RSSC test; (<b>b</b>) CSC test.</p>
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<p>Collapsibility coefficient of different specimens.</p>
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<p>Compression coefficient and compression modulus of different specimens.</p>
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<p>Variation in pH of different specimens with GG dosage.</p>
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<p>SEM results of specimens with different GG contents and after being cured for 28 days: (<b>a</b>) 0% GG; (<b>b</b>–<b>d</b>) 1.25% GG.</p>
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<p>EDS results of specimens with different GG contents and after being cured for 28 days: (<b>a</b>) 0% GG; (<b>b</b>) 1.25% GG (in which 1 and 2 are the selected areas for EDS analysis).</p>
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<p>XRD results of different soil specimens: 1—Gypsum, 2—SiO<sub>2</sub>, 3—CaCO<sub>3</sub>, 4—C-A-H.</p>
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<p>Mechanism diagram of GG-reinforced collapsible loess.</p>
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34 pages, 8597 KiB  
Article
Effects of Pulsed Electric Fields on the Elimination of Fusarium oxysporum in Greenhouse Soil
by Jie Chen, Yingjian Sun, Qingliang Cui, Xiaojuan Hao, Zhenyu Liu and Guang Li
Agriculture 2024, 14(12), 2158; https://doi.org/10.3390/agriculture14122158 - 27 Nov 2024
Viewed by 531
Abstract
In greenhouses, high humidity, low light, and inadequate ventilation conditions, along with continuous and high-density planting, promote the proliferation of soilborne pathogens. Among these pathogens, Fusarium oxysporum Schltdl (F. oxysporum) is a notably challenging one, causing root rot of tomato plants [...] Read more.
In greenhouses, high humidity, low light, and inadequate ventilation conditions, along with continuous and high-density planting, promote the proliferation of soilborne pathogens. Among these pathogens, Fusarium oxysporum Schltdl (F. oxysporum) is a notably challenging one, causing root rot of tomato plants in greenhouse cultivation. To address this issue, this study applied a pulsed electric field (PEF) to target the elimination of F. oxysporum in suspension and soil media. Initially, PEF parameters were systematically explored in suspensions to determine the effective ranges for the elimination of F. oxysporum. The results revealed that the effective ranges for achieving the desired microbial reduction were an electric field strength (EFS) between 5–15 kV·cm−1, a pulse number within the range of 100–500, and a pulse width of 10–20 µs. Subsequently, the impact of soil moisture content, soil bulk density, and soil type on soil dielectric breakdown field strength was analyzed within the range from previous results. Based on these findings, the soil experiments were conducted with parameters designed to prevent dielectric breakdown. Specifically, for sampling soil with a moisture content of 16.2% and a bulk density of 1.31 g·cm−3, the maximum effective application of electric field strength was 9.5 kV·cm−1, accompanied by 1000 pulses and a pulse width of 20 µs. Finally, building on these results, soil samples were sterilized within a parameter range that spanned an electric field strength of 5–9.5 kV·cm−1, a pulse number between 100–500, and a pulse width of 10–20 µs. Response surface methodology (RSM) analysis further identified the optimal parameter combination: an electric field strength of 8.2 kV·cm−1, 306 pulses, and a pulse width of 15 µs, resulting in an average lethal rate of 76.16% for F. oxysporum sterilization in soil. These findings suggest the potential use of PEF against F. oxysporum and other pathogens in greenhouse soils, and provide theoretical foundations for further experiments, thereby contributing to the sustainable advancement of greenhouse agriculture. Full article
(This article belongs to the Section Agricultural Soils)
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<p>Experiment design flowchart.</p>
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<p>Effect of PEF treatment on the lethality of <span class="html-italic">F. oxysporum</span> in suspension; (<b>a</b>) concentration of <span class="html-italic">F. oxysporum</span> after PEF treatments with an EFS ranging from 5 to 30 kV·cm<sup>−1</sup>, with inc. of 5 kV·cm<sup>−1</sup>; (<b>b</b>) linear regression analysis of electric field strength and <span class="html-italic">Log</span><sub>10</sub> value of survival rate of <span class="html-italic">F. oxysporum</span>, with a confidence level of 95% (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect parameters of PEF treatment on the lethality of <span class="html-italic">F. oxysporum</span> in suspension, (<b>a</b>) Lethal rate of <span class="html-italic">F. oxysporum</span> after PEF treatments with pulse counts ranging from 100 to 1000 under an EFS of 7, 8, and 9 kV·cm<sup>−1</sup>, with inc. of 100 pulses; (<b>b</b>) Pearson correlation coefficient heatmap of EFS, pulse counts, and lethal rate of <span class="html-italic">F. oxysporum</span>; (<b>c</b>) linear regression analysis of pulse counts and <span class="html-italic">Log</span><sub>10</sub> of survival rate; (<b>d</b>) the impact of pulse width on sterilization efficacy from 10 to 30 µs, with a confidence level of 95% (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Impact of soil moisture content on the soil dielectric breakdown strength; (<b>a</b>) soil breakdown strength with soil moisture content ranging from 0 to 30%, with inc. of 5%; (<b>b</b>) average soil break strength and electric field strength maintained in soil after dielectric breakdown with different soil moisture content; (<b>c</b>) maximum pulse width under maximum electric field strength maintained in soil with different soil moisture content; (<b>d</b>) a Pearson correlation heatmap illustrating the relationship between soil moisture content, average breakdown strength, median breakdown strength, soil field strength after breakdown, and the maximum pulse width when breakdown does not occur, where A is soil moisture content, B is average soil breakdown strength (kV·cm<sup>−1</sup>), C is median soil breakdown strength, D is soil EFS after breakdown, and E represents the maximum pulse width that can be utilized without causing soil dielectric breakdown.</p>
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<p>Quadratic regression analysis of soil dielectric breakdown strength at different moisture contents; (<b>a</b>) average soil breakdown strength; (<b>b</b>) median soil breakdown strength.</p>
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<p>Impact of soil bulk density on the dielectric breakdown strength of soil; (<b>a</b>) soil breakdown strength with soil bulk density ranging from 1 to 2.2 g·cm<sup>−3</sup>, with inc. of 0.3 g·cm<sup>−3</sup>; (<b>b</b>) quadratic regression analysis of average soil dielectric breakdown strength at different soil bulk density levels.</p>
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<p>Impact of different proportions of matrix soil added on dielectric breakdown strength of soil; (<b>a</b>) soil breakdown strength with proportions of matrix soil ranging from 0 to 100%; (<b>b</b>) polynomial regression analysis of average and median soil dielectric breakdown strength with different proportions of matrix soil in samples.</p>
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<p>Effect of PEF treatment on the lethality of <span class="html-italic">F. oxysporum</span> in soil; (<b>a</b>) lethal rate of <span class="html-italic">F. oxysporum</span> after PEF treatments with EFS ranging from 5 to 9.5 kV·cm<sup>−1</sup>, with inc. of 0.5 kV·cm<sup>−1</sup>, in different media; (<b>b</b>) polynomial regression of lethal rate of <span class="html-italic">F. oxysporum</span> under different electric field strengths from 5 to 9.5 kV·cm<sup>−1</sup> in suspension and soil; (<b>c</b>) linear regression of Log<sub>10</sub> of survival rate of <span class="html-italic">F. oxysporum</span> under different electric field strengths from 5 to 9.5 kV·cm<sup>−1</sup> in suspension; (<b>d</b>) linear regression of <span class="html-italic">Log<sub>10</sub></span> survival rate of <span class="html-italic">F. oxysporum</span> under different electric field strengths from 5 to 9.5 kV·cm<sup>−1</sup> in soil.</p>
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<p>Effects of pulse number and pulse width on <span class="html-italic">F. oxysporum</span> sterilization in soil; (<b>a</b>) lethal rate of <span class="html-italic">F. oxysporum</span> treated by varied pulse number under pulse width from 10–20 µs, with inc. of 2 µs; (<b>b</b>) lethal rate of <span class="html-italic">F. oxysporum</span> treated by varied pulse width under 100–600 pulses, with inc. of 100 pulses.</p>
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<p>RSM analysis results of orthogonal experiment. R1 represents lethal rate of <span class="html-italic">F. oxysporum</span>; (<b>a<sub>1</sub></b>–<b>a<sub>3</sub></b>) response surface plots of the effects of number of pulses B and pulse with C on lethal rate of <span class="html-italic">F. oxysporum</span>, with levels of −0.1, 0, and 1 for electric field strength A; (<b>b<sub>1</sub></b>–<b>b<sub>3</sub></b>) surface plots of the effects of electric field strength and pulse with on sterilization rate, level of pulse count are −1, 0, and 1; (<b>c<sub>1</sub></b>–<b>c<sub>3</sub></b>) surface plots of the effects of electric field strength and number of pulses on lethal rates of <span class="html-italic">F. oxysporum</span>, with levels of pulse width −1, 0, and 1; (<b>d<sub>1</sub></b>–<b>d<sub>3</sub></b>) represent the contour lines when A = 0.2, B = 0.03, and C = 0, respectively.</p>
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<p>RSM analysis results of orthogonal experiment. R1 represents lethal rate of <span class="html-italic">F. oxysporum</span>; (<b>a<sub>1</sub></b>–<b>a<sub>3</sub></b>) response surface plots of the effects of number of pulses B and pulse with C on lethal rate of <span class="html-italic">F. oxysporum</span>, with levels of −0.1, 0, and 1 for electric field strength A; (<b>b<sub>1</sub></b>–<b>b<sub>3</sub></b>) surface plots of the effects of electric field strength and pulse with on sterilization rate, level of pulse count are −1, 0, and 1; (<b>c<sub>1</sub></b>–<b>c<sub>3</sub></b>) surface plots of the effects of electric field strength and number of pulses on lethal rates of <span class="html-italic">F. oxysporum</span>, with levels of pulse width −1, 0, and 1; (<b>d<sub>1</sub></b>–<b>d<sub>3</sub></b>) represent the contour lines when A = 0.2, B = 0.03, and C = 0, respectively.</p>
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<p>Plate cultivation of <span class="html-italic">F. oxysporum</span> at 25 °C for 5 days after treatment with PEF, where a and b represent suspension and soil; (CK) control group of untreated samples; (<b>a<sub>1</sub></b>) treated by 5 kV·cm<sup>−1</sup>, 20 µs, and 100 pulses; (<b>a<sub>2</sub></b>) treated by 9 kV·cm<sup>−1</sup>, 20 µs, and 100 pulses; (<b>a<sub>3</sub></b>) treated by 15 kV·cm<sup>−1</sup>, 10 µs, and 300 pulses; (<b>a<sub>4</sub></b>) treated by 25 kV·cm<sup>−1</sup>, 20 µs, and 100 pulses; (<b>b<sub>1</sub></b>) treated by 5 kV·cm<sup>−1</sup>, 20 µs, and 100 pulses; (<b>b<sub>2</sub></b>) treated by 7 kV·cm<sup>−1</sup>, 10 µs, and 300 pulses; (<b>b<sub>3</sub></b>) treated by 9 kV·cm<sup>−1</sup>, 20 µs, and 100 pulses; (<b>b<sub>4</sub></b>) treated by 8.2 kV·cm<sup>−1</sup>, 15 µs, and 306 pulses.</p>
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