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14 pages, 9683 KiB  
Article
Microstructure, Mechanical Properties, and Fatigue Resistance of an Al-Mg-Sc-Zr Alloy Fabricated by Wire Arc Additive Manufacturing
by Lingpeng Zeng, Jiqiang Chen, Tao Li, Zhanglong Tuo, Zuming Zheng and Hanlin Wu
Metals 2025, 15(1), 31; https://doi.org/10.3390/met15010031 - 1 Jan 2025
Viewed by 466
Abstract
Al-Mg alloy wire modified by Sc and Zr additions was used to prepare a high-strength, non-heat-treated Al-Mg alloy component by wire arc additive manufacturing (WAAM) technology in the present work, and the microstructure, mechanical properties, fatigue resistance, as well as their anisotropies of [...] Read more.
Al-Mg alloy wire modified by Sc and Zr additions was used to prepare a high-strength, non-heat-treated Al-Mg alloy component by wire arc additive manufacturing (WAAM) technology in the present work, and the microstructure, mechanical properties, fatigue resistance, as well as their anisotropies of the deposited Al-Mg-Sc-Zr alloy component were studied. The results show that the microstructure of the as-deposited alloy is composed of fine equiaxed grains with an average grain size of around 8 μm, and nanosized Al3(Sc, Zr) particles (~5 nm) are also evident. The tensile properties and fatigue resistance of the deposited alloy showed significant anisotropy, and the performance of the traveling direction is always better than that of the deposition direction. The ultimate strength, yield strength, elongation, and critical fatigue life (cycles) of the as-deposited alloy along the traveling direction (0° direction) are 362 ± 7 MPa, 244 ± 3 MPa and 24.8 ± 0.3%, and 1.72 × 105, respectively. The presence of weak bonding areas and high tensile (positive) residual stress between the deposition layers deteriorate the tensile properties and critical fatigue life of the sample along the deposition direction. Full article
(This article belongs to the Special Issue Structure and Mechanical Properties of Aluminum Alloys)
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Figure 1

Figure 1
<p>(<b>a</b>) The image of the as-deposited Al-Mg-Sc-Zr alloy component; (<b>b</b>) the sampling positions for the samples.</p>
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<p>(<b>a</b>) The size of the sample for the tensile test; (<b>b</b>) the size of the sample for the fatigue crack growth test (unit: mm).</p>
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<p>(<b>a</b>,<b>b</b>) Illustration images of the locations for residual stress measurement of the alloy component.</p>
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<p>Microstructure of the as-deposited Al-Mg-Sc-Zr alloy sample: (<b>a</b>,<b>b</b>) optical microscope image; (<b>c</b>) SEM images.</p>
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<p>SEM and EBSD images and the corresponding grain size distribution of the as-deposited Al-Mg-Sc-Zr alloy in different sampling directions: (<b>a</b>,<b>b</b>) SEM and EBSD images of X-Z plane; (<b>c</b>) grain size distribution corresponding to the X-Z plane; (<b>d</b>,<b>e</b>) SEM and EBSD images of X-Y plane; (<b>f</b>) grain size distribution corresponding to the X-Y plane.</p>
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<p>TEM images of the as-deposited Al-Mg-Sc-Zr alloy: (<b>a</b>,<b>b</b>) BF images; (<b>c</b>,<b>d</b>) HRTEM images.</p>
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<p>(<b>a</b>) Stress–strain curve of the of the as-deposited Al-Mg-Sc-Zr alloy along the traveling and deposition directions; (<b>b</b>) comparison for the mechanical properties of the present work and reported previous works on the Al-Mg-based alloy prepared by WAAM [<a href="#B12-metals-15-00031" class="html-bibr">12</a>,<a href="#B19-metals-15-00031" class="html-bibr">19</a>,<a href="#B25-metals-15-00031" class="html-bibr">25</a>,<a href="#B30-metals-15-00031" class="html-bibr">30</a>,<a href="#B31-metals-15-00031" class="html-bibr">31</a>,<a href="#B32-metals-15-00031" class="html-bibr">32</a>,<a href="#B33-metals-15-00031" class="html-bibr">33</a>,<a href="#B34-metals-15-00031" class="html-bibr">34</a>].</p>
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<p>(<b>a</b>) Crack length and fatigue cycle (a−N) curves; (<b>b</b>) FCG rates of the samples along different sampling directions; (<b>c</b>,<b>d</b>) are the macro-morphology images of the sample after the fatigue crack propagation test along the traveling direction (0° direction) and deposition direction (90° direction), respectively.</p>
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<p>Fatigue fracture morphology in the crack stable expansion zone of the two samples: (<b>a</b>,<b>b</b>) the traveling direction (0° direction); (<b>c</b>,<b>d</b>) the deposition direction (90° direction).</p>
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<p>The fracture morphology of tensile test samples along two different directions: (<b>a</b>,<b>c</b>) the traveling direction (0° direction); (<b>b</b>,<b>d</b>) the deposition direction (90° direction).</p>
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<p>Residual stress distribution along two different directions: (<b>a</b>) the traveling direction (0° direction); (<b>b</b>) the deposition direction (90° direction).</p>
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28 pages, 4471 KiB  
Article
Remaining Life Prediction of Automatic Fare Collection Systems from the Perspective of Sustainable Development: A Sparse and Weak Feature Fault Data-Based Approach
by Jing Xiong, Youchao Sun, Zhihao Xu, Yongbing Wan and Gang Yu
Sustainability 2025, 17(1), 230; https://doi.org/10.3390/su17010230 - 31 Dec 2024
Viewed by 386
Abstract
The most effective way to solve urban traffic congestion in mega cities is to develop rail transit, which is also an important strategy for sustainable urban development. Improving the service performance of rail transit equipment is the key to ensuring the sustainable operation [...] Read more.
The most effective way to solve urban traffic congestion in mega cities is to develop rail transit, which is also an important strategy for sustainable urban development. Improving the service performance of rail transit equipment is the key to ensuring the sustainable operation of urban rail transit. Automatic fare collection (AFC) is an indispensable system in urban rail transit. AFC directly serves passengers, and its condition directly affects the sustainability and safety of urban rail transit. This study proposes remaining useful life (RUL) prediction framework for AFC systems. Firstly, it proposes the quantification of AFC health state based on health degree, and proposes a health state assessment method based on digital analog fusion, which compensates for the shortcomings of single data-driven or model driven health methods. Secondly, it constructs a multi feature extraction method based on multi-layer LSTM, which can capture long-term temporal dependencies and multi-dimensional feature, overcoming the limitation of low model accuracy because of the weak data features. Then, the SSA-XGBoost model for AFC RUL prediction is proposed, which effectively performs global and local searches, reduces the possibility of overfitting, and improves the accuracy of the prediction model. Finally, we put it into practice of the AFC system of Shanghai Metro Line 10. The experiment shows that the proposed model has an MSE of 0.00111 and MAE of 0.02869 on the test set, while on the validation set, MSE is 0.00004 and MAE is 0.00659. These indicators are significantly better than other comparative models such as XGBoost, random forest regression, and linear regression. In addition, the SSA-XGBoost model also performs well on R-squared, further verifying its effectiveness in prediction accuracy and model fitting. Full article
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<p>A framework for prediction of the remaining life of AFC.</p>
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<p>Multi-layer LSTM based feature extraction.</p>
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<p>Structure of XGboost model.</p>
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<p>SSA-XGBoost based prediction process.</p>
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<p>AFC system health state assessment and RUL prediction flowchart.</p>
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<p>Loss curve of GAN network.</p>
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<p>Health degree of AFC system based on weight calculation.</p>
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<p>Health degree of AFC system based on digital analog fusion.</p>
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<p>Comparison of predicted health values with actual health values (validation set).</p>
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<p>Comparison of prediction health grade and actual health grade (validation set).</p>
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<p>Mean square error for different models.</p>
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<p>Mean absolute errors for different models.</p>
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<p>R-squared for different models.</p>
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<p>Feature importance based on PFI.</p>
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23 pages, 7666 KiB  
Article
The Impact of the Urban Heat Island Effect on Ground-Level Ozone Pollution in the Sichuan Basin, China
by Xingtao Song, Haoyuan Shi, Langchang Jin, Sijing Pang and Shenglan Zeng
Atmosphere 2025, 16(1), 14; https://doi.org/10.3390/atmos16010014 - 26 Dec 2024
Viewed by 357
Abstract
With urbanization, ozone (O3) pollution and the urban heat island (UHI) effect have become increasingly prominent. UHI can affect O3 production and its dilution and dispersion, but the underlying mechanisms remain unclear. This study investigates the spatial and temporal distribution [...] Read more.
With urbanization, ozone (O3) pollution and the urban heat island (UHI) effect have become increasingly prominent. UHI can affect O3 production and its dilution and dispersion, but the underlying mechanisms remain unclear. This study investigates the spatial and temporal distribution of O3 pollution and the UHI effect, as well as the influence of UHI on O3 pollution in the Sichuan Basin. Atmospheric pollution data for O3 and NO2 from 2020 were obtained from local environmental monitoring stations, while temperature and single-layer wind field data were sourced from ERA5-Land, a high-resolution atmospheric reanalysis dataset provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The results indicate the following: (1) O3 concentrations in the Sichuan Basin exhibit distinct seasonal variations, with the highest levels in spring, followed by summer and autumn, and the lowest in winter. In terms of spatial variation, the overall distribution is highest in western Sichuan, second highest along the Sichuan River, and lowest in central Sichuan. (2) There are significant regional differences in UHII across Sichuan, with medium heat islands (78.63%) dominating western Sichuan, weak heat islands (82.74%) along the Sichuan River, and no heat island (34.79%) or weak heat islands (63.56%) in central Sichuan. Spatially, UHII is mainly distributed in a circular pattern. (3) Typical cities in the Sichuan Basin (Chengdu, Chongqing, Nanchong) show a positive correlation between UHII and O3 concentration (0.071–0.499), though with an observed temporal lag. This study demonstrates that UHI can influence O3 concentrations in two ways: first, by altering local heat balance, thereby promoting O3 production, and second, by generating local winds that contribute to the diffusion or accumulation of O3, forming distinct O3 concentration zones. Full article
(This article belongs to the Section Air Quality)
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Figure 1
<p>Administrative divisions and topographic elevation map of the Sichuan Basin.</p>
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<p>Administrative divisions and topographic elevation map of the Sichuan Basin.</p>
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<p>Day-by-day O<sub>3</sub> concentration values in the Sichuan Basin in 2020 ((<b>a</b>): Western Sichuan, (<b>b</b>): Sichuan River, (<b>c</b>): Central Sichuan).</p>
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<p>Intraday variation of O<sub>3</sub> concentration in Sichuan Basin in 2020 ((<b>a</b>): Western Sichuan, (<b>b</b>): Sichuan River, (<b>c</b>): Central Sichuan).</p>
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<p>O<sub>3</sub> concentration in the Sichuan Basin by season in 2020 ((<b>a</b>): Western Sichuan, (<b>b</b>): Sichuan River, (<b>c</b>): Central Sichuan).</p>
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<p>Distribution of O<sub>3</sub> concentration (µg/m<sup>3</sup>) in the Sichuan Basin by season in 2020 ((<b>a</b>): spring, (<b>b</b>): summer, (<b>c</b>): autumn, (<b>d</b>): winter).</p>
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<p>Change in daily average ambient air temperature in the Sichuan Basin in 2020 ((<b>a</b>): Western Sichuan, (<b>b</b>): Sichuan River, (<b>c</b>): Central Sichuan).</p>
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<p>Spatial distribution of seasonal changes in ambient air temperature (°C) in the Sichuan basin ((<b>a</b>): spring, (<b>b</b>): summer, (<b>c</b>): autumn, (<b>d</b>): winter).</p>
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<p>Daily variation of UHII in different areas of the Sichuan Basin in 2020 ((<b>a</b>): Western Sichuan, (<b>b</b>): Sichuan River, (<b>c</b>): Central Sichuan).</p>
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<p>Intraday variation of UHII in different areas of the Sichuan Basin in 2020 ((<b>a</b>): Western Sichuan, (<b>b</b>): Sichuan River, (<b>c</b>): Central Sichuan).</p>
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<p>Local UHII distribution (°C) by season in the Sichuan Basin in 2020 ((<b>a</b>): spring, (<b>b</b>): summer, (<b>c</b>): autumn, (<b>d</b>): winter).</p>
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<p>Daily variation of O<sub>3</sub> concentration and UHII in typical cities in the Sichuan basin ((<b>a</b>): Chengdu, (<b>b</b>): Chongqing, (<b>c</b>): Nanchong; (<b>1</b>): spring, (<b>2</b>): summer, (<b>3</b>): autumn, (<b>4</b>): winter).</p>
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<p>Spatial distribution of O<sub>3</sub> concentration (left) and heat island intensity (right) under the influence of the heat island effect in Nanchong city at each level ((<b>a</b>–<b>c</b>) are in order of no heat island, weak heat island, and medium heat island).</p>
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<p>Spatial distribution of O<sub>3</sub> concentration (left) and heat island intensity (right) under the influence of the heat island effect in Chengdu (left) and Chongqing (right) city at various levels ((<b>a</b>–<b>e</b>) are in order of no heat island, weak heat island, medium heat island, strong heat island, and very strong heat island).</p>
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<p>Spatial distribution of NO<sub>2</sub> concentration (left) and wind field (right) under the influence of heat island effect at each level in Chengdu (left) and Chongqing (right) city ((<b>a</b>–<b>e</b>) are in order of no heat island, weak heat island, medium heat island, and strong heat island).</p>
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<p>Spatial distribution of NO<sub>2</sub> concentration (left) and wind field (right) under the influence of heat island effect in Nanchong at each level ((<b>a</b>–<b>c</b>) are in order of no heat island, weak heat island, and medium heat island).</p>
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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 286
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>
Full article ">Figure 9 Cont.
<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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14 pages, 5882 KiB  
Article
Formation of Wrinkled Nanostructures via Surface–Bulk Curing Disparity in Ethyl Cyanoacrylate: Toward Superhydrophobic Surface Applications
by Changwoo Lee, Heon-Ju Choi, Kyungeun Jeong, Kyungjun Lee and Handong Cho
Nanomaterials 2025, 15(1), 12; https://doi.org/10.3390/nano15010012 - 25 Dec 2024
Viewed by 371
Abstract
Superhydrophobic surfaces, known for their exceptional water-repellent properties with contact angles exceeding 150°, are highly regarded for their effectiveness in applications including self-cleaning, antifouling, and ice prevention. However, the structural fragility and weak durability of conventional coating limit their long-term use. In this [...] Read more.
Superhydrophobic surfaces, known for their exceptional water-repellent properties with contact angles exceeding 150°, are highly regarded for their effectiveness in applications including self-cleaning, antifouling, and ice prevention. However, the structural fragility and weak durability of conventional coating limit their long-term use. In this research, a new approach is proposed for the fabrication of long-lasting superhydrophobic surfaces using ethyl cyanoacrylate (ECA) and a primer. The application of the primer creates a curing rate disparity between the surface and bulk of the ECA layer, resulting in the formation of wrinkled microstructures essential for achieving superhydrophobicity. The fabricated surfaces were further functionalized through plasma treatment and hydrophobic silane (OTS) coating, enhancing their water-repellent properties. This straightforward and scalable method produced surfaces with excellent superhydrophobicity and robust adhesion to substrates. Durability tests, including roller abrasion and microscratch evaluations, indicated that the wrinkled structure and strong substrate adhesion contributed to sustained performance even under mechanical stress. Additionally, mechanical properties were assessed through nanoindentation, demonstrating enhanced resistance to physical damage compared to conventional superhydrophobic coatings. This study highlights the potential of ECA-based superhydrophobic surfaces for applications requiring durability and mechanical stability, such as architectural coatings, automotive exteriors, and medical devices. The approach offers a promising solution to the limitations of existing superhydrophobic technologies and opens new avenues for further research into wear-resistant and environmentally resilient coatings. Full article
(This article belongs to the Special Issue Functionalized Nanostructures on Surfaces and at Interfaces)
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Figure 1
<p>(<b>a</b>) Schematic illustration of wrinkle structure formation by curing ECA with primer application, (<b>b</b>) SEM images of the ECA surface cured without primer (<b>left</b>) and cured with primer application (<b>right</b>), and (<b>c</b>) photograph of the wrinkled ECA surface formed on a slide glass, exhibiting superhydrophobicity.</p>
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<p>(<b>a</b>) ATR-FTIR spectra results related to the chemical changes during the fabrication of the superhydrophobic ECA surface, (<b>b</b>) static water contact angles and corresponding water droplet images for samples at different fabrication stages, and (<b>c</b>) photographs of droplets of 0.1 M HCl, 0.1 M NaOH, 0.1 M H<sub>2</sub>SO<sub>4</sub>, and 5% NaOH solutions resting on the superhydrophobic ECA surface.</p>
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<p>(<b>a</b>) Schematic illustration of the custom-built apparatus for the abrasion test, (<b>b</b>) sliding angles of water droplets after abrasion cycles (average of 10 measurements per sample), and (<b>c</b>) confocal microscopy images of the ECA surface before (<b>left</b>) and after (<b>right</b>) the abrasion test.</p>
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<p>Characterization of the superhydrophobic ECA surface: (<b>a</b>) SEM, EDS, and FT-IR results before sandpaper abrasion and (<b>b</b>) corresponding results after sandpaper abrasion.</p>
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<p>(<b>a</b>) Experimental setup for measuring the water droplet rebound ratio, (<b>b</b>) high-speed camera images capturing water droplet rebound on abraded surfaces, and (<b>c</b>) rebound ratio results for abraded surfaces (average of 10 measurements per sample).</p>
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<p>(<b>a</b>) Illustration of nanoindentation for measuring the elastic modulus through nanoscale load and displacement, (<b>b</b>) load–displacement curve of the surface coated with a commercial superhydrophobic coating (NeverWet<sup>®</sup>), and (<b>c</b>) load–displacement curve of the wrinkled superhydrophobic ECA surface.</p>
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<p>(<b>a</b>) Optical micrographs showing initial surface failure during scratch tests for NeverWet<sup>®</sup>-coated surfaces and (<b>b</b>) corresponding results for superhydrophobic wrinkled ECA surfaces.</p>
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25 pages, 36727 KiB  
Article
Engineering Site Characterization of Al-Madinah Al-Munawarah, Saudi Arabia, for Sustainable Urban Development
by Bashar Y. Hazaea, Abdullah M. Alamri, Mohammed S. Fnais and Kamal Abdelrahman
Sustainability 2025, 17(1), 9; https://doi.org/10.3390/su17010009 - 24 Dec 2024
Viewed by 405
Abstract
This study aims to estimate the shear wave velocity and identify the depth of the bedrock and the engineering site characterization utilizing the multichannel analysis of surface waves (MASW) method for sustainable urban development in the Al-Madinah Al-Munawarah area. Twenty-seven MASW profiles were [...] Read more.
This study aims to estimate the shear wave velocity and identify the depth of the bedrock and the engineering site characterization utilizing the multichannel analysis of surface waves (MASW) method for sustainable urban development in the Al-Madinah Al-Munawarah area. Twenty-seven MASW profiles were carried out using Geode digital seismographs with a 24-geophone array of 4.5 Hz in the urban expansion area of Al-Madinah Al-Munawarah. The methodology entailed rigorous calibration during data collection, processing, and inversion to ensure precise shear velocity measurements. Results reflect subsurface conditions accurately where shear wave velocity (Vs) varies between 180 m/s and 1200 m/s across three main layers: alluvium deposits, which transfer laterally in some areas into vesicular basalt with Vs ranges from 180 to 360 m/s; fractured basalt where Vs varies between 360 and 760 m/s; and weathered basaltic rock with Vs that spans from 760 to 1200 m/s. Moreover, the average shear wave velocity of up to 30 m depth (Vs30) and ranging from 180–480 m/s indicate Site Class D (stiff soil) and Class C (soft rock and dense soil) according to National Earthquake Hazards Reduction Program (NEHRP). Furthermore, the depth of bedrock varies between 18 and 29 mm indicating the great thickness of soil deposits throughout the study area. These results provide civil engineers and urban planners with vital data about soil deposits characterization and geotechnical conditions in the area where alluvium deposits and vesicular basalt represent weak zones that require more attention during urban construction. Results will contribute as well, to a great extent, in achieving the sustainable development plans of Saudi Vision 2030. Full article
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<p>Location map of the study area.</p>
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<p>Geological map of the study area (modified after [<a href="#B47-sustainability-17-00009" class="html-bibr">47</a>]).</p>
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<p>Field photographs showing various geotechnical problems.</p>
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<p>Flowchart showing the methodology of the present study.</p>
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<p>(<b>A</b>)The raw data of the surface waves seismogram recorded, (<b>B</b>) Dispersion curve shows the fundamental mode picked manually using SurfSeis software, (<b>C</b>) The 1D shear wave velocity profile, and (<b>D</b>) 2D shear wave velocity section of MASW.</p>
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<p>Selected 2D Shear wave velocity (Vs) pseudo-sections. Fair stiff soil materials (blue color) and very dense soil/soft rock (light blue-green colors) correspond to different lithological units and rock qualities along the investigated area.</p>
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<p>Selected 2D Shear wave velocity (Vs) pseudo-sections. Fair stiff soil materials (blue color) and very dense soil/soft rock (light blue-green colors) correspond to different lithological units and rock qualities along the investigated area.</p>
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<p>Selected 2D Shear wave velocity (Vs) pseudo-sections. Fair stiff soil materials (blue color) and very dense soil/soft rock (light blue-green colors) correspond to different lithological units and rock qualities along the investigated area.</p>
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<p>Selected 2D Shear wave velocity (Vs) pseudo-sections. Fair stiff soil materials (blue color) and very dense soil/soft rock (light blue-green colors) correspond to different lithological units and rock qualities along the investigated area.</p>
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<p>Selected 2D Shear wave velocity (Vs) pseudo-sections. Fair stiff soil materials (blue color) and very dense soil/soft rock (light blue-green colors) correspond to different lithological units and rock qualities along the investigated area.</p>
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<p>Selected 2D Shear wave velocity (Vs) pseudo-sections. Fair stiff soil materials (blue color) and very dense soil/soft rock (light blue-green colors) correspond to different lithological units and rock qualities along the investigated area.</p>
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<p>Selected 2D Shear wave velocity (Vs) pseudo-sections. Fair stiff soil materials (blue color) and very dense soil/soft rock (light blue-green colors) correspond to different lithological units and rock qualities along the investigated area.</p>
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<p>The distribution of average Vs30 in the study area.</p>
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<p>The depth of bedrock in the study area.</p>
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<p>Site characterization of the study area.</p>
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19 pages, 4324 KiB  
Article
Research on the Construction Method of an Assembly Knowledge Graph for a Biomass Heating System
by Zuobin Chen, Fukun Wang, Yong Gao, Jia Ai and Ya Mao
Processes 2025, 13(1), 11; https://doi.org/10.3390/pr13010011 - 24 Dec 2024
Viewed by 410
Abstract
In the complex process of assembling biomass heating systems, traditional paper documents and construction process card management methods have weak information correlation and take a long time for information retrieval, which seriously restricts the assembly efficiency and quality. Moreover, the assembly process involves [...] Read more.
In the complex process of assembling biomass heating systems, traditional paper documents and construction process card management methods have weak information correlation and take a long time for information retrieval, which seriously restricts the assembly efficiency and quality. Moreover, the assembly process involves numerous components and complex processes, making it difficult for traditional management methods to cope with. To address this issue, a knowledge graph-based assembly information integration method is proposed to integrate scattered assembly information into a graph database, providing pathways for accessing assembly information and assisting on-site management. The biomass heating system assembly knowledge graph (BAKG) adopts the top-down method construction. After the construction of the upper schema layer, the 3DXML file was parsed, the XML.dom parser in Python3.7.16 was used to extract the equipment structure information, and the RoBERTa-BiLSTM-CRF model was applied to the named entity recognition of the assembly document, which improved the accuracy of entity recognition. The experimental results show that the F1 score of the RoBERTa-BiLSTM-CRF model in entity recognition during the assembly process reaches 92.19%, which is 3.1% higher than that of the traditional BERT-BiLSTM-CRF model. Moreover, the knowledge graph structure generated by the equipment structure data based on 3DXML file is similar to the equipment structure tree, but is more clear and intuitive. Finally, taking the second-phase construction process records of a company as an example, BAKG was constructed and assembly information was stored in the Neo4j graph database in the form of graphs, which verified the effectiveness of the method. Full article
(This article belongs to the Special Issue Transfer Learning Methods in Equipment Reliability Management)
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<p>General framework for BAKG construction method.</p>
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<p>BAKG conceptual pattern layer.</p>
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<p>The entity extraction method framework.</p>
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<p>3DXML source file.</p>
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<p>Entity recognition and relationship extraction based on 3DXML.</p>
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<p>Schematic diagram of BiLSTM structure.</p>
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<p>Schematic diagram of RoBERTa-BiLSTM-CRF structure (Chinese is utilized as the model input).</p>
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<p>Comparison of entity recognition model performance: (<b>a</b>) F1; (<b>b</b>) Precision; (<b>c</b>) Recall.</p>
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<p>Part of BAKG.</p>
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20 pages, 23391 KiB  
Article
Full Life Cycle Evaluation of Stability Pile in High Slope with Multi-Layer Weak Interlayers
by Guie Shi, Jiaming Zhang, Mingzhi Lu, Fei Liu, Pengzheng Guo and Chenxi Wang
Appl. Sci. 2024, 14(24), 12077; https://doi.org/10.3390/app142412077 - 23 Dec 2024
Viewed by 340
Abstract
High slopes with multi-layer weak interlayers are a type of special slope that tends to fail due to the unfavorable mechanical properties of interlayers. In this study, the influence of the position, length, diameter, and ratio of on-center spacing to the pile diameter [...] Read more.
High slopes with multi-layer weak interlayers are a type of special slope that tends to fail due to the unfavorable mechanical properties of interlayers. In this study, the influence of the position, length, diameter, and ratio of on-center spacing to the pile diameter on the stability of such slopes is investigated using the three-dimensional strength reduction elastoplastic finite element method. Based on a high slope with multi-layer weak interlayers, two models were created, and three states (an initial state, a state with a safety factor of 1.35, and a limit equilibrium state) were considered. The pile can improve slope stability when the it is located at the lower to lower-middle part of a high slope. The resistance effect no longer has a strengthening property if it exceeds a critical pile length (28 m and 30 m in the two models); 30 m was found to be the optimal pile length for the high slope. As the diameter increased, the safety factor increased from 1.38 (1.37) to 1.41 (1.40) in Model 1 (or in Model 2), while the maximum compressive stress, the maximum shear stress of the pile, and the maximum displacement of the pile head decreased in the two models from 20.84 (81.24) MPa to 16.15 (18.8) MPa, 11.19 (42.02) MPa to 7.77 (10.43) MPa, and 714.1 (4585.00) mm to 396.3 (1272.00) mm, respectively. The pile diameter should be >1.4 m in such cases. When stress and displacement increased, the arching effect and the pile group effect weakened, and the safety factor decreased as the ratio of on-center spacing to diameter increased. The ratio should be <3 to ensure slope ability. Full article
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<p>Aerial view (taken by Jiaming Zhang) (<b>a</b>), location (<b>b</b>), plan of the high slope, and its two vertical sections; (<b>c</b>) the elevations and widths of the platforms, and the slope ratios of the slopes; (<b>d</b>,<b>e</b>) Vertical sections that exhibit different rock and soil masses; their planar positions are shown in (<b>c</b>).</p>
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<p>The lateral and longitudinal distribution of the piles in Model 1. Piles are set in the toe, middle, or top of different grades of the slope.</p>
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<p>Correlation between safety factors and pile position. The horizontal dotted line represents a safety factor (<span class="html-italic">F</span>) of 1.35. The vertical dotted lines represent the locations of the slopes and the platforms.</p>
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<p>Maximum principal stress contour of the 1.35 state. (<b>a</b>) Maximum principal stress distribution of the piles in Model 1 and Model 2, where <span class="html-italic">L</span><sub>y</sub> = 45.8 m. (<b>b</b>) Maximum principal stress distribution of the pile fronts of various pile positions in Model 1. (<b>c</b>) Maximum principal stress distribution of the pile fronts of various pile positions in Model 2.</p>
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<p>Maximum shear stress contour of the 1.35 state. (<b>a</b>) Maximum shear stress distribution of the piles in Model 1 and Model 2, where <span class="html-italic">L</span><sub>y</sub> = 45.8 m. (<b>b</b>) Maximum shear stress distribution of the pile backs of various pile positions in Model 1. (<b>c</b>) Maximum shear stress distribution of the pile backs of various pile positions in Model 2.</p>
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<p>Plastic zone distribution of the two models, both with a variety of pile positions under the limit equilibrium state. (<b>a</b>) Pile located at the lower part of the high slope in Model 1. (<b>b</b>) Pile located at the middle in Model 1. (<b>c</b>) Pile located at the top in Model 1. (<b>d</b>) Pile located at the lower part of the high slope in Model 2. (<b>e</b>) Pile located at the lower-middle part in Model 2. (<b>f</b>) Pile located at the top in Model 2.</p>
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<p>The correlation between safety factors and pile length. The horizontal dotted line represents a safety factor (<span class="html-italic">F</span>) of 1.35 and the vertical dotted lines represent the critical pile lengths.</p>
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<p>The correlation between the maximum compressive stress and pile length and between the maximum shear stress and pile length in Model 1 and Model 2 under the 1.35 state.</p>
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<p>Plastic zone distribution of Model 1 with a variety of pile lengths, i.e., (<b>a</b>) 20 m, (<b>b</b>) 22 m, (<b>c</b>) 26 m, and (<b>d</b>) 28 m, and that of Model 2 with two pile lengths of (<b>e</b>) 26 m, and (<b>f</b>) 30 m under the limit equilibrium state.</p>
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<p>(<b>a</b>) The correlation between the safety factor and the pile diameter. (<b>b</b>) The correlation between the maximum compressive stress of piles and the pile diameter under the 1.35 state. (<b>c</b>) The correlation between the maximum shear stress of piles and the pile diameter under the 1.35 state. (<b>d</b>) The correlation between the maximum displacement of the pile head and the pile diameter under the 1.35 state.</p>
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<p>(<b>a</b>) The correlation between the <span class="html-italic">F</span> and the <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D</span>. (<b>b</b>) The correlation between the maximum compressive stress of piles and the <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D</span> under the 1.35 state. (<b>c</b>) The correlation between the maximum shear stress of piles and the <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D</span> under the 1.35 state. (<b>d</b>) The correlation between the maximum displacement of the pile head and the <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D</span> under the 1.35 state.</p>
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<p>10 m below the pile top of Model 1, the correlation between the displacement of the Y direction and <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D</span>. (<b>a</b>–<b>h</b>) <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D</span> = 1.875, 2, 3,4, 5, 6, 7, and 8, respectively.</p>
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<p>The plastic zone distribution of the middle of two piles of Model 1 with a variety of <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D.</span> (<b>a</b>–<b>d</b>) <span class="html-italic">S</span><sub>p</sub>/<span class="html-italic">D</span> = 1.875, 3, 5, and 8, respectively.</p>
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<p>The correlation between the maximum compressive stress of piles under 1.35 state and pile position. The curve of Model 1 is flat, while that of Model 2 shows considerable fluctuations.</p>
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<p>The correlation between the maximum shear stress of piles under 1.35 state and pile position. The curve of Model 1 is flat, while that in Model 2 shows considerable fluctuations.</p>
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17 pages, 2965 KiB  
Article
Typhoon Effects on Surface Phytoplankton Biomass Based on Satellite-Derived Chlorophyll-a in the East Sea During Summer
by HwaEun Jung, JiSuk Ahn, Jae Joong Kang, Jae Dong Hwang, SeokHyun Youn, HyunJu Oh, HuiTae Joo and Changsin Kim
J. Mar. Sci. Eng. 2024, 12(12), 2369; https://doi.org/10.3390/jmse12122369 - 23 Dec 2024
Viewed by 462
Abstract
The East Sea is a jointly managed maritime area of Korea, Russia, and Japan, where the frequency of strong typhoons is anticipated to increase with climate change, affecting its marine ecosystem and regional climate regulation. This study investigated the environmental and ecological impacts [...] Read more.
The East Sea is a jointly managed maritime area of Korea, Russia, and Japan, where the frequency of strong typhoons is anticipated to increase with climate change, affecting its marine ecosystem and regional climate regulation. This study investigated the environmental and ecological impacts of summer typhoons entering the East Sea by analyzing satellite-derived chlorophyll-a (Chl-a) data, Argo float measurements, and ERA5 wind data. Our findings revealed that summer typhoons generally increased surface Chl-a concentrations by 65.4%, with typhoon intensity substantially influencing this process. Weak typhoons caused marginal Chl-a increases attributed to redistribution rather than nutrient supply, whereas normal and strong typhoons increased Chl-a through enhanced vertical mixing and nutrient upwelling in the East Sea. Stronger typhoons notably impacted the mixed layer depth and isothermal layer depth, leading to greater Chl-a concentrations within the strong wind radius. However, the increased Chl-a magnitude was lower than that of other strong typhoons in other regions. The East Sea uniquely responds to typhoons with fewer upper environment changes, possibly due to a stable barrier layer limiting vertical mixing. These findings underscore the importance of continuous monitoring and integrated observational methods in order to better understand the ecological effects of typhoons, particularly as their intensity increases with climate change. Full article
(This article belongs to the Section Marine Environmental Science)
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<p>The pathway of typhoons and Argo float location during the study period. The dotted lines are pathways of typhoons. The triangles denote the locations of typhoons each day. The circle and asterisks indicate the Argo float location before and after typhoons, respectively. The colors of circles and asterisks indicate typhoon type. (Blue is SOULIK, green is TAPA, orange is MAYSAK, and red is HAISHEN).</p>
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<p>The surface Chl-<span class="html-italic">a</span> concentration in the strong wind radius of each typhoon during typhoons of SOULIK, TAPA, and MAYSAK AND HAISHEN (MH) in the strong wind radius of typhoons. (<b>A</b>) before. (<b>B</b>) after. (<b>C</b>) difference between before and after. The line represents the pathway of the typhoon.</p>
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<p>Vertical temperature profiles measured by ARGO Floats before and after typhoons ((<b>a</b>)-SOULIK, (<b>b</b>)-TAPA, (<b>c</b>)-MH).</p>
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<p>Average Ekman Depth (D<sub>E</sub>) of strong wind radius during typhoons SOULIK (<b>a</b>), TAPA (<b>b</b>), MH, and (<b>c</b>) in the East Sea (The black and yellow lines indicate the pathway of typhoons).</p>
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16 pages, 6537 KiB  
Article
Mechanical Behavior of Hardened Printed Concrete and the Effect of Cold Joints: An Experimental Investigation
by Theresa Glotz, Inken Jette Rasehorn and Yuri Petryna
Materials 2024, 17(24), 6304; https://doi.org/10.3390/ma17246304 - 23 Dec 2024
Viewed by 380
Abstract
The adaptation of 3D printing techniques within the construction industry has opened new possibilities for designing and constructing cementitious materials efficiently and flexibly. The layered nature of extrusion-based concrete printing introduces challenges, such as interlayer weaknesses, that compromise structural integrity and mechanical performance. [...] Read more.
The adaptation of 3D printing techniques within the construction industry has opened new possibilities for designing and constructing cementitious materials efficiently and flexibly. The layered nature of extrusion-based concrete printing introduces challenges, such as interlayer weaknesses, that compromise structural integrity and mechanical performance. This experimental study investigates the influence of interlayer orientation and the presence of cold joints (CJ) on mechanical properties, such as stiffness and strength. Three-point bending tests (3PBT) and optical measurement techniques are employed to correlate these properties with the structural response of hardened printed concrete. The analysis determines key properties like Young’s modulus and flexural tensile strength and evaluates them statistically. The investigation examines crack development and failure mechanisms, relating them to the material properties. The findings reveal a strong dependency of material properties and crack formation on layer orientation. Specimens with interlayers aligned parallel to the loading direction exhibit significantly inferior mechanical properties compared with other orientations. The presence of CJ considerably influences the progression of crack formation. This research contributes to a deeper understanding of the structural performance of printed concrete. Full article
(This article belongs to the Special Issue 3D Printing Techniques in Construction Materials)
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<p>(<b>a</b>) ABB Ltd IRB 6700 robotic arm of the printing facility at Technische Universität Berlin used to manufacture the printed specimens. (<b>b</b>) Printing process for producing the object for specimen extraction without cold joints (CJ). (<b>c</b>) Printing process after a 90 min pause, resulting in objects containing CJ.</p>
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<p>Schematic overview of the extraction of specimens from the printed object.</p>
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<p>Overview of experimental test setup: Displacement-controlled three-point bending test (3PBT) (<b>a</b>) with layers oriented in XZ-, XY-, and YZ-directions, (<b>b</b>) with CJ and layers oriented in XZ- and XY-directions.</p>
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<p>(<b>a</b>) Three-point bending test setup with ARAMIS 4M optical stereo camera system. (<b>b</b>) Specimen with sprayed stochastic grey value pattern on the surface.</p>
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<p>Fracture surfaces of 3PBT for Series I: specimens with layers oriented in (<b>a</b>) XZ-, (<b>b</b>) XY- and (<b>c</b>) YZ-direction.</p>
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<p>Normalized crack force <math display="inline"><semantics> <msub> <mi>F</mi> <mrow> <mi>cr</mi> <mo>,</mo> <mi>norm</mi> </mrow> </msub> </semantics></math> and ratio <math display="inline"><semantics> <mrow> <msub> <mi>β</mi> <mi>F</mi> </msub> <mo>=</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <msub> <mi>F</mi> <mi>cr</mi> </msub> <msub> <mi>F</mi> <mi mathvariant="normal">u</mi> </msub> </mfrac> </mstyle> </mrow> </semantics></math> of crack force <math display="inline"><semantics> <msub> <mi>F</mi> <mi>cr</mi> </msub> </semantics></math> and failure load <math display="inline"><semantics> <msub> <mi>F</mi> <mi mathvariant="normal">u</mi> </msub> </semantics></math> derived from 3PBT for layer orientations XZ, XY, and YZ in Series I with mean value <math display="inline"><semantics> <mi>μ</mi> </semantics></math> and standard deviation SD.</p>
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<p>(<b>a</b>) Evolution of machine force <span class="html-italic">F</span> over strain <math display="inline"><semantics> <msub> <mi>ε</mi> <mi>x</mi> </msub> </semantics></math> in failure crack for specimens XZ_#3, XY_#1, and YZ_#2. (<b>b</b>) Strain field <math display="inline"><semantics> <msub> <mi>ε</mi> <mi>x</mi> </msub> </semantics></math> with crack evolution for specific load levels <math display="inline"><semantics> <msub> <mi>F</mi> <mn>1</mn> </msub> </semantics></math> to <math display="inline"><semantics> <msub> <mi>F</mi> <mn>3</mn> </msub> </semantics></math> for specimen YZ_#2.</p>
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<p>Specimen YZ_#3 with arrow mark indicating printing direction: (<b>a</b>) surface of broken specimen with (<b>b</b>) detail of crack area and (<b>c</b>) highlighted interlayer regions.</p>
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<p>Young’s modulus <span class="html-italic">E</span> and flexural tensile strength <math display="inline"><semantics> <msub> <mi>f</mi> <mi mathvariant="normal">t</mi> </msub> </semantics></math> derived from 3PBT for layer orientations XZ, XY, and YZ in Series I with mean value <math display="inline"><semantics> <mi>μ</mi> </semantics></math> and standard deviation SD.</p>
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<p>Fracture surfaces of 3PBT for Series II: specimens with CJ oriented in (<b>a</b>) XZ- and (<b>b</b>) XY-direction.</p>
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<p>Detail of crack path resulting from 3PBT for Series II for specimen (<b>a</b>) CJ_XZ_#1 and (<b>b</b>) CJ_XZ_#2.</p>
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<p>Normalized crack force <math display="inline"><semantics> <msub> <mi>F</mi> <mrow> <mi>cr</mi> <mo>,</mo> <mi>norm</mi> </mrow> </msub> </semantics></math> and ratio <math display="inline"><semantics> <mrow> <msub> <mi>β</mi> <mi>F</mi> </msub> <mo>=</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <msub> <mi>F</mi> <mi>cr</mi> </msub> <msub> <mi>F</mi> <mi mathvariant="normal">u</mi> </msub> </mfrac> </mstyle> </mrow> </semantics></math> of crack force <math display="inline"><semantics> <msub> <mi>F</mi> <mi>cr</mi> </msub> </semantics></math> and failure load <math display="inline"><semantics> <msub> <mi>F</mi> <mi mathvariant="normal">u</mi> </msub> </semantics></math> derived from 3PBT for specimens with and without CJ and layer orientations XZ and XY in Series II with mean value <math display="inline"><semantics> <mi>μ</mi> </semantics></math> and standard deviation SD.</p>
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<p>Young’s modulus <span class="html-italic">E</span> and flexural tensile strength <math display="inline"><semantics> <msub> <mi>f</mi> <mi mathvariant="normal">t</mi> </msub> </semantics></math> derived from 3PBT for specimens with and without CJ and layer orientations XZ and XY in Series II with mean value <math display="inline"><semantics> <mi>μ</mi> </semantics></math> and standard deviation SD.</p>
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30 pages, 1914 KiB  
Review
Securing the Future of Railway Systems: A Comprehensive Cybersecurity Strategy for Critical On-Board and Track-Side Infrastructure
by Nisrine Ibadah, César Benavente-Peces and Marc-Oliver Pahl
Sensors 2024, 24(24), 8218; https://doi.org/10.3390/s24248218 - 23 Dec 2024
Viewed by 403
Abstract
The growing prevalence of cybersecurity threats is a significant concern for railway systems, which rely on an extensive network of onboard and trackside sensors. These threats have the potential to compromise the safety of railway operations and the integrity of the railway infrastructure [...] Read more.
The growing prevalence of cybersecurity threats is a significant concern for railway systems, which rely on an extensive network of onboard and trackside sensors. These threats have the potential to compromise the safety of railway operations and the integrity of the railway infrastructure itself. This paper aims to examine the current cybersecurity measures in use, identify the key vulnerabilities that they address, and propose solutions for enhancing the security of railway infrastructures. The report evaluates the effectiveness of existing security protocols by reviewing current standards, including IEC62443 and NIST, as well as case histories of recent rail cyberattacks. Significant gaps have been identified, especially where modern and legacy systems need to be integrated. Weaknesses in communication protocols such as MVB, CAN and TCP/IP are identified. To address these challenges, the paper proposes a layered security framework specific to railways that incorporate continuous monitoring, risk-based cybersecurity modeling, AI-assisted threat detection, and stronger authentication methodologies. The aim of these recommendations is to improve the resilience of railway networks and ensure a safer, more secure infrastructure for future operations. Full article
(This article belongs to the Section Internet of Things)
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<p>Example of On-board/Trackside instances.</p>
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<p>An overview of the railway physical infrastructure.</p>
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<p>Railway sensors.</p>
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<p>NIST CSF phases.</p>
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<p>Methodology overview of the proposal.</p>
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<p>Cost-effective and scalable solutions.</p>
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<p>Collaborative security measures.</p>
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16 pages, 2280 KiB  
Article
Sustainable Shipping Requires Sustainable Education and Training
by Dilyan Dimitranov and Blagovest Belev
Sustainability 2024, 16(24), 11270; https://doi.org/10.3390/su162411270 - 23 Dec 2024
Viewed by 313
Abstract
The Blue Economy is a multi-layered economy in its content, although it only reflects the relation between the sea and business. Shipping plays an essential role in this economy, as it holds the largest market share. Sustainable shipping, however, requires the sustainability of [...] Read more.
The Blue Economy is a multi-layered economy in its content, although it only reflects the relation between the sea and business. Shipping plays an essential role in this economy, as it holds the largest market share. Sustainable shipping, however, requires the sustainability of a number of the components that make it up. One of the most important components is the training of marine personnel, and particularly the ship’s crew. Over the past two decades, the Lifelong Learning strategy has been firmly established in shipping, manifested through a variety of practices. In order to ensure the continuous and sustainable training of ship’s crews, the companies have introduced annual seminars, which aim to familiarize the officers with current business topics. This article analyzes the delivery methods and quality of training in six seminars conducted by four different shipping companies carried out in three different countries. The scientific method “interview” was used for gathering the necessary information for analysis of the strengths and weaknesses of this type of training, and the way it was conducted. A significant number of deck officers and engineers, participants in all seminars, were surveyed to create a clear picture of the quality of such education and training. Collected data were used for the analysis of the strengths, weaknesses, opportunities and threats (SWOT) associated with the surveyed fleet officer’s seminars. A comparative analysis of this type of postgraduate training was made, while taking in mind higher marine education and training. The article summarizes the authors’ experience of their sea service as Officers of the Watch and Masters on board of merchant vessels, as well as participants in postgraduate education and training. Conclusions for close cooperation between shipping companies and maritime educational institutions are made. Full article
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<p>Percentage distribution of the participants by nation.</p>
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<p>Percentage distribution of the participants by position on board.</p>
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<p>Percentage distribution of the participant’s answers to question 1.</p>
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<p>Percentage distribution of the participant’s answers to question 2.</p>
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<p>Percentage distribution the participant’s answers to question 3.</p>
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<p>Percentage distribution of the participant’s answers to question 5.</p>
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<p>Percentage distribution of the participant’s answers to question 6.</p>
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13 pages, 5875 KiB  
Article
Propagation Law of Hydraulic Fractures in Continental Shale Reservoirs with Sandstone–Shale Interaction
by Yuan Gao, Qiuping Qin, Xiaobing Bian, Xiaoyang Wang, Wenjun Xu and Yanxin Zhao
Processes 2024, 12(12), 2931; https://doi.org/10.3390/pr12122931 - 21 Dec 2024
Viewed by 421
Abstract
There are significant lithological and stress differences between continental shale layers, posing challenges for hydraulic fractures (HFs) to propagate through the formations, leading to weak fracture effects. To address this, this article adopts the finite element and cohesive force element methods to formulate [...] Read more.
There are significant lithological and stress differences between continental shale layers, posing challenges for hydraulic fractures (HFs) to propagate through the formations, leading to weak fracture effects. To address this, this article adopts the finite element and cohesive force element methods to formulate a three-dimensional numerical model for hydraulic fracture (HF) propagation through layers, considering interlayer lithology and stress variations. The accuracy of the model was verified by physical experiments, and the one-factor analysis method was used to creatively reveal the complex mechanism of the effect of geological and engineering variables on the diffusion of HFs in continental shale reservoirs. The results show that high interlayer stress difference, high interlayer tensile strength difference, low interlayer Young’s modulus difference and large interlayer thickness are not conducive to the penetration of HFs, but increasing the injection rate and the viscosity of fracturing fluid can effectively improve the penetration of HFs. The influence ranking of each factor was determined using the grey relational degree analysis method: interlayer stress difference > interlayer Young’s modulus difference > interlayer tensile strength difference > interlayer thickness > injection rate > fracturing fluid viscosity. Full article
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<p>The traction-separation law of cohesive elements [<a href="#B17-processes-12-02931" class="html-bibr">17</a>].</p>
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<p>Schematic of fluid flow within a damaged unit [<a href="#B17-processes-12-02931" class="html-bibr">17</a>].</p>
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<p>Comparison of indoor experiments and numerical simulation results.</p>
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<p>Numerical simulation diagram.</p>
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<p>Comparison of simulation results of different spacer thicknesses.</p>
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<p>Comparison of simulation results of stress difference between different layers.</p>
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<p>Comparison of simulation results of different tensile strength differences.</p>
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<p>Comparison of simulation results of different Young’s modulus differences.</p>
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<p>Comparison of simulation results of different injection rates.</p>
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<p>Comparison of simulation results of viscosity of different fracturing fluids.</p>
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<p>Calculation results of correlation degree of different influencing factors.</p>
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20 pages, 7905 KiB  
Article
Study on Soil and Water Loss on Slope Surface and Slope Stability Under Rainfall Conditions
by Fengzhan Hou, Zhenqiang Ni, Shihao Wang, Hangeng Sun, Fengxiao Zhao, Wei Zhong and Yongsheng Zhang
Water 2024, 16(24), 3643; https://doi.org/10.3390/w16243643 - 18 Dec 2024
Viewed by 383
Abstract
For a binary structure slope with a soil layer on the top and a rock layer on the bottom, during the rainfall process, surface runoff will cause soil and water loss on the slope surface and damage to the slope environment. When rainwater [...] Read more.
For a binary structure slope with a soil layer on the top and a rock layer on the bottom, during the rainfall process, surface runoff will cause soil and water loss on the slope surface and damage to the slope environment. When rainwater infiltrates into the slope, the pore water pressure in the soil gradually increases, the shear strength of the soil decreases, and a weak zone is formed at the soil–rock interface, which has a significant impact on the stability of the slope. Therefore, to study the soil and water loss on the slope surface and the stability of the slope under rainfall conditions, we used theoretical analysis, indoor model tests, and numerical simulations to conduct a comprehensive exploration of this issue, and the following conclusions were formed: the pore water pressure in the shallow layer is greater than that in the deep layer, and the pore water pressure at the toe of the slope is greater than that at the top of the slope; as the slope gradient increases, the time when the pore water pressure at the toe of the slope begins to respond gradually speeds up; the slope displacement first occurs at the lower part of the slope, then in the middle, and finally at the upper part; the time when the displacement at each point on the slope surface begins to respond gradually speeds up with the increase in the slope; the damage form at a small slope gradient is mainly flow sliding, and the damage process is continuous; the damage form at a large slope gradient is mainly flow sliding and overall sliding, and the damage process is continuous and sudden; when the binary structure slope fails, the sliding surface includes the internal sliding surface of the soil and the sliding surface at the soil–rock interface, but when the slope gradient is small, the relative sliding at the soil–rock interface is small, and a continuous sliding surface cannot be formed; and when the slope gradients are small (30° and 40°), the displacement decreases continuously from top to bottom, and no overall sliding surface is formed. The larger values of plastic strain mainly occur in the upper and middle parts of the slope, there is no formation of a continuous plastic strain zone, and the damage mode is flow sliding; when the slope gradients are large (50° and 60°), the displacement is the largest in the upper part, and a large displacement also occurs in the lower part, forming a sliding surface that penetrates through the soil–soil and rock–soil layers. The larger values of plastic strain occur in the upper, middle, and lower parts of the slope, a continuous plastic strain zone is formed, and the damage modes are flow sliding and overall sliding; numerical simulations were carried out on a typical actual slope, and consistent results were obtained. Full article
(This article belongs to the Special Issue Water-Related Landslide Hazard Process and Its Triggering Events)
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<p>Homemade model case and rainfall system.</p>
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<p>The physical indicators of the soil.</p>
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<p>Sensor burial location.</p>
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<p>Volumetric water content and slope displacement at different slope gradients.</p>
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<p>Volumetric water content and slope displacement at different slope gradients.</p>
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<p>Pore water pressure and slope displacement at different slope gradients.</p>
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<p>Earth pressure increments and slope displacements at different slope gradients.</p>
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<p>Earth pressure increments and slope displacements at different slope gradients.</p>
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<p>The 30° and 50° slope surface erosion characteristics.</p>
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<p>Slope damage patterns at different slope gradients.</p>
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<p>Geometric modeling of slopes.</p>
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<p>Slope displacement cloud maps.</p>
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<p>Equivalent plastic strain cloud maps.</p>
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<p>Stability factor of slopes during rainfall over time.</p>
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11 pages, 2330 KiB  
Article
Immunolocalization of Na(+)-Dependent Glucose Co-Transporters in Chicken Kidneys in Norm and During T-2 Mycotoxicosis (Primary Study)
by Cristin Allmang, Piret Hussar, Ilmārs Dūrītis and Florina Popovska-Percinic
Curr. Issues Mol. Biol. 2024, 46(12), 14259-14269; https://doi.org/10.3390/cimb46120854 - 18 Dec 2024
Viewed by 468
Abstract
The kidney plays an essential role in the proper homeostasis of glucose. In the kidney, glucose transport is carried out across cell membranes by two families of glucose transporters—facilitated diffusion glucose transporters (GLUTs) and Na(+)-dependent glucose co-transporters (SGLT family). Among the transporters, sodium-dependent [...] Read more.
The kidney plays an essential role in the proper homeostasis of glucose. In the kidney, glucose transport is carried out across cell membranes by two families of glucose transporters—facilitated diffusion glucose transporters (GLUTs) and Na(+)-dependent glucose co-transporters (SGLT family). Among the transporters, sodium-dependent glucose co-transporters play a major role in the kidney‘s ability to reabsorb glucose. Although the localization of glucose transporters has been extensively studied in mammals, there are still knowledge gaps regarding the localization of SGLTs in birds. The aim of this research was to conduct a comparative study of the immunolocalization of the sodium-dependent glucose co-transporters SGLT1 and SGLT2 in the kidneys of healthy and T-2-mycotoxicated chickens. Immunohistochemical staining was carried out using the polyclonal primary antibodies SGLT1 and SGLT2 (Abcam, UK) in kidney tissue derived from seven healthy and seven T-2-mycotoxicated 7-day-old female layer-type Ross chickens (Gallus gallus domesticus). The sections were stained using an immunohistochemistry kit (Abcam, UK). In the kidneys of the healthy birds, strong staining of SGLT1 and SGLT2 was observed in the cytoplasm of the epithelial cells of the proximal straight and convoluted tubules. In the kidneys of the birds of the T-2 toxin group, weak expression of SGLT1 and SGLT2 with morphological changes occurred, indicating reduced glucose transport in the urinary system during T-2 mycotoxicosis. Full article
(This article belongs to the Section Biochemistry, Molecular and Cellular Biology)
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<p>Na(+)-dependent glucose co-transporter 2 transmembrane transport in bird kidneys. SGLT2 = Na(+)-dependent glucose co-transporter 2; GLUT2 = facilitative glucose transport.</p>
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<p>Normal kidney morphology of a 7-day-old chicken: proximal (arrowheads) and distal tubules (arrows) in the cortex of the kidney. Hematoxylin and eosin. Magnification 400×, scale bar 100 µm.</p>
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<p>Immunolocalization of the sodium-dependent glucose co-transporter-1 (SGLT1) in kidney tissue (<b>a</b>) in healthy 7-day-old chickens; note the strong expression of SGLT1 in the apical part of the epithelial cells of renal proximal tubules (arrowheads). Magnification 400×, scale bar 50 µm; (<b>b</b>) damaged brush border membranes of proximal tubule’s epithelial cells in intoxicated chicken (arrows). Magnification 400×, scale bar 50 µm.</p>
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<p>Immunolocalization of sodium-dependent glucose co-transporter-2 (SGLT2) in (<b>a</b>) strongly stained proximal tubules (arrowheads) of healthy chicken kidney and weakly stained distal tubules (arrows) is observed. Magnification 400×, scale bar 50 µm; (<b>b</b>) the pale staining of proximal renal tubules (arrows) of intoxicated bird group is observed. Magnification 400×, scale bar 50 µm.</p>
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<p>SGLT2 in healthy 7-day-old chicken kidneys. Note the unstained collecting ducts (arrows); immunohistochemistry (IHC) magnification 400×, scale bar 50 µm.</p>
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