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Symmetry in Civil Transportation Engineering

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 11699

Special Issue Editors

School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Interests: rock mechanics; soil mechanics; geomechanics; engineering geology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Interests: civil engineering; engineering mechanics; engineering geology; earth sciences; energy; environmental science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Symmetrical structures have become common in civil transportation engineering, such as in buildings and their components (high-rise buildings, airports, bridges, piers, and foundations), tunnels, subway stations, retaining walls, roadbeds, etc. Research on the stability, vulnerability, durability, and other issues of these symmetrical structures or buildings plays an important role in the civil and transportation fields. In the process of underground space construction, many excavation methods also have symmetry, such as the bench cut method, circular excavation with the core soil method, and the double-side-wall heading excavation method. The supporting structures used are also symmetrical, such as the anchor rod design, lining structures, support systems, underground structures, etc. After excavation, the deformation and stress distribution of the surrounding rock surface settlement are symmetrical. The crack propagation mode of rock containing flaws caused by excavation unloading is symmetrical or has central symmetry, and the deformation and stress distribution of maintenance structures and underground structures are also symmetrical. Therefore, this symmetry is widely present in civil and transportation engineering. How to develop and utilize symmetrical structures, symmetrical excavation methods, and symmetrical support forms is of great significance for the development of engineering construction in this field. At the same time, how to effectively control such symmetrical deformation and settlement is of great significance for disaster prevention and reduction.

Dr. Yao Bai
Prof. Dr. Renliang Shan
Guest Editors

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Keywords

  • new building structural systems
  • excavation and support of large cross-section tunnels
  • PBA construction method
  • surrounding rock–support interaction
  • surface settlement during tunnel excavation
  • new technologies for geotechnical testing
  • mechanical properties of frozen rock and soil
  • environmental geotechnical engineering

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Published Papers (10 papers)

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Research

31 pages, 6635 KiB  
Article
Optimization of Multi-Vehicle Cold Chain Logistics Distribution Paths Considering Traffic Congestion
by Zhijiang Lu, Kai Wu, E Bai and Zhengning Li
Symmetry 2025, 17(1), 89; https://doi.org/10.3390/sym17010089 - 8 Jan 2025
Viewed by 226
Abstract
Urban road traffic congestion has become a serious issue for cold chain logistics in terms of delivery time, distribution cost, product freshness, and even organization revenue and reputation. This study focuses on the cold chain distribution path by considering road traffic congestion with [...] Read more.
Urban road traffic congestion has become a serious issue for cold chain logistics in terms of delivery time, distribution cost, product freshness, and even organization revenue and reputation. This study focuses on the cold chain distribution path by considering road traffic congestion with transportation, real-time vehicle delivery speeds, and multiple-vehicle conditions. Therefore, a vehicle routing optimization model has been established with the objectives of minimizing costs, reducing carbon emissions, and maintaining cargo freshness, and a multi-objective hybrid genetic algorithm has been developed in combination with large neighborhood search (LNSNSGA-III) for leveraging strong local search capabilities, optimizing delivery routes, and enhancing delivery efficiency. Moreover, by reasonably adjusting departure times, product freshness can be effectively enhanced. The vehicle combination strategy performs well across multiple indicators, particularly the three-type vehicle strategy. The results show that costs and carbon emissions are influenced by environmental and refrigeration temperature factors, providing a theoretical basis for cold chain management. This study highlights the harmonious optimization of cold chain coordination, balancing multiple constraints, ensuring efficient logistic system operation, and maintaining equilibrium across all dimensions, all of which reflect the concept of symmetry. In practice, these research findings can be applied to urban traffic management, delivery optimization, and cold chain logistics control to improve delivery efficiency, minimize operational costs, reduce carbon emissions, and enhance corporate competitiveness and customer satisfaction. Future research should focus on integrating complex traffic and real-time data to enhance algorithm adaptability and explore customized delivery strategies, thereby achieving more efficient and environmentally friendly logistics solutions. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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Figure 1

Figure 1
<p>Service process of the distribution center.</p>
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<p>Relationship between vehicle speed and TCC.</p>
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<p>Sub-region set and distance set.</p>
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<p>Chromosome encoding principles.</p>
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<p>Reference Points Illustration.</p>
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<p>Chromosome Coding Diagram.</p>
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<p>LNSNSGA-III algorithm flowchart.</p>
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<p>TCC-S display.</p>
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<p>Comparison of two-dimensional pareto frontiers for four algorithms.</p>
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<p>Comparison of three-dimensional Pareto frontiers for the four algorithms.</p>
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<p>Delivery paths before and after optimization.</p>
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<p>Delivery scheme without adjusting vehicle departure time.</p>
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<p>Delivery scheme after adjusting vehicle departure time.</p>
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<p>Multi-vehicle model delivery route map.</p>
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<p>Freshness variation with <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">T</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> under different <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">T</mi> </mrow> <mo>*</mo> </msub> </mrow> </semantics></math>.</p>
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<p>Cost and carbon emissions variation with <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>T</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> under different <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>T</mi> </mrow> <mrow> <mo>*</mo> </mrow> </msub> </mrow> </semantics></math>.</p>
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16 pages, 35376 KiB  
Article
Numerical Simulation on Medium-Deep Hole Straight Cut Blasting Based on the Principle of Segmented Charging
by Xiantang Zhang, Fuzhi Wang, Zhiyu Bai, Bin Shao, Yuchao Wei, Qingqian Wu and Jingshuang Zhang
Symmetry 2024, 16(11), 1536; https://doi.org/10.3390/sym16111536 - 16 Nov 2024
Viewed by 566
Abstract
The efficiency of rock excavation depends on cut blasting. However, medium-deep hole cutting blasting faces the challenges of large clamping action and unsatisfactory blasting efficiency. The study proposes sectional charge cutting blasting technology and analyzes the mechanism of cavity formation by establishing a [...] Read more.
The efficiency of rock excavation depends on cut blasting. However, medium-deep hole cutting blasting faces the challenges of large clamping action and unsatisfactory blasting efficiency. The study proposes sectional charge cutting blasting technology and analyzes the mechanism of cavity formation by establishing a numerical model. The results demonstrated that sectional charge blasting in the hole can expand the range of stress waves, and the segment interaction is also optimized by introducing a delay time difference. These factors contribute to an increase in the rock-breaking volume and an improvement in the degree of rock breaking. Furthermore, the cutting effects of different segmented proportional models are quantified. When the upper and lower sections are symmetrically charged, the damage range caused by the upper section is greater. The reason is that the clamping force exerted on the rock mass increases with the depth of the hole. In addition, when the upper section ratio is 0.4, the model exhibits the most excellent cavity volume; this results from charging according to the symmetry principle for optimal energy distribution. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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Figure 1

Figure 1
<p>Schematics of blasting cavity under different charge structures: (<b>a</b>) continuous charge blasting; (<b>b</b>) segmented charge blasting.</p>
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<p>Relationship between blasting strength and rock clamping action at different charge ratios: (<b>a</b>) L<sub>1</sub> &lt; L<sub>2</sub>; (<b>b</b>) L<sub>1</sub> = L<sub>2</sub>; (<b>c</b>) L<sub>1</sub> &gt; L<sub>2</sub>.</p>
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<p>The model diagram: (<b>a</b>) a quarter model; (<b>b</b>) the whole model.</p>
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<p>Specific parameter settings of the model.</p>
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<p>Blasting model test: (<b>a</b>) the hole layout of the model test; (<b>b</b>) the result of the model test.</p>
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<p>Plausibility validation of numerical simulations: (<b>a</b>) numerical model; (<b>b</b>) comparison of simulation results and experimental results.</p>
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<p>Effective stress cloud diagram of continuous charge blasting: (<b>a</b>) t = 0.45 ms; (<b>b</b>) t = 1.05 ms; (<b>c</b>) t = 1.45 ms.</p>
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<p>Effective stress cloud diagram of segmented charge blasting: (<b>a</b>) t = 0.45 ms; (<b>b</b>) t = 1.05 ms; (<b>c</b>) t = 1.45 ms.</p>
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<p>Effective stress measurement point location diagram of the model.</p>
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<p>Time–history curve of effective stress at measuring point of continuous charge model: (<b>a</b>) free surface section; (<b>b</b>) <span class="html-italic">Z</span> = 1.5 m section; (<b>c</b>) <span class="html-italic">Z</span> = 2 m section; (<b>d</b>) bottom of hole section.</p>
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<p>Time–history curve of effective stress at measuring point of segmented charge model: (<b>a</b>) free surface section; (<b>b</b>) <span class="html-italic">Z</span> = 1.5 m section; (<b>c</b>) <span class="html-italic">Z</span> = 2 m section; (<b>d</b>) bottom of hole section.</p>
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<p>The damage cloud diagram of the models at different times.</p>
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<p>The damage cloud diagram under different segmentation ratios: (<b>a</b>) the ratio is 0.3; (<b>b</b>) the ratio is 0.4; (<b>c</b>) the ratio is 0.6; (<b>d</b>) the ratio is 0.7.</p>
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<p>The cavity morphology of different models at 1.05 ms and 2.0 ms: (<b>a</b>) continuous charging blasting; (<b>b</b>) the ratio is 0.3; (<b>c</b>) the ratio is 0.4; (<b>d</b>) the ratio is 0.5; (<b>e</b>) the ratio is 0.6; (<b>f</b>) the ratio is 0.7.</p>
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<p>The cavity morphology of different models at 1.05 ms and 2.0 ms: (<b>a</b>) continuous charging blasting; (<b>b</b>) the ratio is 0.3; (<b>c</b>) the ratio is 0.4; (<b>d</b>) the ratio is 0.5; (<b>e</b>) the ratio is 0.6; (<b>f</b>) the ratio is 0.7.</p>
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<p>Final damage volume of models under different segmentation ratios.</p>
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<p>Rock fragmentation and throw effects under different charge structures.</p>
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17 pages, 5704 KiB  
Article
Study of the Micro-Vibration Response and Related Vibration Isolation of Complex Traffic Load-Induced Experimental Buildings
by Feifan Feng, Yunjun Lu and Weiwei Chen
Symmetry 2024, 16(10), 1328; https://doi.org/10.3390/sym16101328 - 9 Oct 2024
Viewed by 728
Abstract
In view of the high-sensitivity vibration effect of precision instrument laboratory buildings under the influence of surrounding traffic loads, field micro-vibration tests under various working conditions were carried out based on actual projects. Combined with numerical simulation, measured data served as input loads [...] Read more.
In view of the high-sensitivity vibration effect of precision instrument laboratory buildings under the influence of surrounding traffic loads, field micro-vibration tests under various working conditions were carried out based on actual projects. Combined with numerical simulation, measured data served as input loads to simulate the vibration effect of various traffic loads on the floor of a building structure, and the structural vibration laws under the comprehensive action of various loads were analyzed. The vibration isolation effect of the isolation ditch on the oblique orthogonal load was investigated according to the corresponding safety index. The results show that the main frequency components of the site vibration frequency caused by various traffic loads are approximately 25 Hz and that the root-mean-square speed value is stable below VC-E, which meets the design requirements. Under the comprehensive action of multiple loads, the site structure will produce a vibration amplification effect, which is obvious when all types of loads are distributed symmetrically and the curve distribution is controlled by load factors with large amplitudes. The isolation effect of a small isolation ditch is best when it is located close to the source and the building. The depth of the isolation ditch must be greater than the maximum depth of the source to achieve better results, and the width has little influence. The effect of a small isolation trench on vertical vibration is poor, and the oblique orthogonal triaxial load has a counteracting effect on the vertical component. Thus, additional structural vibration isolation measures are needed. The research results provide a reference for engineering vibration isolation, damping measures, and structural design. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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Figure 1
<p>Building plan and measuring point layout.</p>
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<p>Field test equipment. (<b>a</b>) Field measurement; (<b>b</b>) Acceleration sensor placement method.</p>
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<p>General vibration standard (VC) curve for the vibration sensing equipment.</p>
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<p>Traffic loads.</p>
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<p>Traffic loads.</p>
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<p>Spectrum diagram for <span class="html-italic">V</span> = 20 km/h.</p>
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<p>Load model of the car.</p>
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<p>Overall finite element model.</p>
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<p>Comparison between measured data and numerical simulation.</p>
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<p>One-third frequency octave band of the RMS value of the site speed under various loads. (<b>a</b>) One-third frequency octave band of the RMS value of the site speed under vehicle loads. (<b>b</b>) One-third frequency octave band of the RMS value of the site speed under pedestrian loads. (<b>c</b>) One-third frequency octave band of the RMS value of the site speed under high-speed rail loads. (<b>d</b>) One-third frequency octave band of the RMS of the site speed under aircraft loads. (<b>e</b>) One-third frequency octave band of the RMS value of the site speed under the combined action of loads (in the same direction). (<b>f</b>) One-third frequency octave band of the RMS value of the site speed under the combined action of loads (in different directions).</p>
Full article ">Figure 9 Cont.
<p>One-third frequency octave band of the RMS value of the site speed under various loads. (<b>a</b>) One-third frequency octave band of the RMS value of the site speed under vehicle loads. (<b>b</b>) One-third frequency octave band of the RMS value of the site speed under pedestrian loads. (<b>c</b>) One-third frequency octave band of the RMS value of the site speed under high-speed rail loads. (<b>d</b>) One-third frequency octave band of the RMS of the site speed under aircraft loads. (<b>e</b>) One-third frequency octave band of the RMS value of the site speed under the combined action of loads (in the same direction). (<b>f</b>) One-third frequency octave band of the RMS value of the site speed under the combined action of loads (in different directions).</p>
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<p>Numerical model of the vibration isolation ditch.</p>
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<p>The reduction rate of the peak vibration level of the isolation pool at different positions.</p>
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<p>The reduction rate of the peak vibration level at different depths of the isolation pool.</p>
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<p>The reduction rate of the peak vibration level of different isolation pool widths.</p>
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16 pages, 3573 KiB  
Article
Mechanical Characteristics of Deep Excavation Support Structure with Asymmetric Load on Ground Surface
by Ping Zhao, Yan Sun, Zhanqi Wang and Panpan Guo
Symmetry 2024, 16(10), 1309; https://doi.org/10.3390/sym16101309 - 4 Oct 2024
Cited by 1 | Viewed by 680
Abstract
The purpose of this paper is to capture the mechanical response of the support structure of deep excavation subject asymmetric load. A two-dimensional (2D) numerical analysis model was established by taking a pipe gallery deep excavation subject to asymmetric load as an example. [...] Read more.
The purpose of this paper is to capture the mechanical response of the support structure of deep excavation subject asymmetric load. A two-dimensional (2D) numerical analysis model was established by taking a pipe gallery deep excavation subject to asymmetric load as an example. The numerical analysis results were in good agreement with the measured data, thus verified the validity of the numerical model. On this basis, the stress and displacement of support structure caused by the change in foundation asymmetric load were studied. According to the numerical results, horizontal displacement of the diaphragm wall (DW) was dominant, and the maximum horizontal displacement of the DW was 7.54 mm when the deep excavation was completed. With the increase in asymmetric load, the left wall displacement continued to increase, while the displacement of the right DW continued to decrease, and the maximum horizontal wall displacement occurred near the excavation face. The DW was the main bending component, and the maximum wall bending moment when the deep excavation was completed was 173.5 kN·m. The maximum wall bending moment increased with the increase in asymmetric load, and the maximum wall bending moment on the left of the deep excavation was greater than that on the right. The inner support sustained the main component of axial force, with the axial force peaking at 1051.8 kN when the deep excavation was completed. The axial force of the inner support increased with increasing the asymmetric load, and the axial force of the second inner support was obviously greater than that of the first inner support. This research has a positive effect on the design and optimization of deep excavation support structure subject to asymmetric load on ground surface. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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Figure 1
<p>Deep excavation profile. d was the thickness of soil, D was distance from the edge of asymmetric load to the edge of deep excavation, B was the width of the asymmetric load, and q was the size of the asymmetric load.</p>
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<p>Two-dimensional grid rendering of numerical model. q is the asymmetric load; purple, yellow, and green areas represent, respectively, artificial fill, cobble, and sandy claystone layers.</p>
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<p>Displacement cloud image in the X direction: (<b>a</b>) construction phase 2; (<b>b</b>) construction phase 3; (<b>c</b>) construction phase 4; (<b>d</b>) construction phase 5; (<b>e</b>) construction phase 6; (<b>f</b>) construction phase 7.</p>
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<p>Comparison graph between simulated and monitored values: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Displacement cloud image in the X direction:(<b>a</b>) q = 15 kPa; (<b>b</b>) q = 30 kPa; (<b>c</b>) q = 45 kPa; (<b>d</b>) q = 60 kPa; (<b>e</b>) q = 75 kPa; (<b>f</b>) q = 90 kPa.</p>
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<p>Comparison curve of displacement in X direction when q changes: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>The fitting curve of the relationship between the maximum displacement in X direction and q: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Moment cloud image of support structure with different asymmetric loads: (<b>a</b>) q = 15 kPa; (<b>b</b>) q = 30 kPa; (<b>c</b>) q = 45 kPa; (<b>d</b>) q = 60 kPa; (<b>e</b>) q = 75 kPa; (<b>f</b>) q = 90 kPa.</p>
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<p>Comparison of fitting curves of the relationship between the maximum bending moment value and the change of q: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Axial force cloud diagram of support structure with different asymmetric load: (<b>a</b>) q = 15 kPa; (<b>b</b>) q = 30 kPa; (<b>c</b>) q = 45 kPa; (<b>d</b>) q = 60 kPa; (<b>e</b>) q = 75 kPa; (<b>f</b>) q = 90 kPa.</p>
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<p>The fitting curve of the relation between the axial force and the asymmetric load: (<b>a</b>) first inner support; (<b>b</b>) second inner support.</p>
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20 pages, 10041 KiB  
Article
Deformation and Stress of Rock Masses Surrounding a Tunnel Shaft Considering Seepage and Hard Brittleness Damage
by Zhenping Zhao, Jianxun Chen, Tengfei Fang, Weiwei Liu, Yanbin Luo, Chuanwu Wang, Jialiang Dong, Jian Li, Heqi Wang and Dengxia Huang
Symmetry 2024, 16(10), 1266; https://doi.org/10.3390/sym16101266 - 26 Sep 2024
Viewed by 1028
Abstract
The mechanical and deformation behaviors of the surrounding rock play a crucial role in the structural safety and stability of tunnel shafts. During drilling and blasting construction, seepage failure and hard brittleness damage of the surrounding rock occur frequently. However, previous discussions on [...] Read more.
The mechanical and deformation behaviors of the surrounding rock play a crucial role in the structural safety and stability of tunnel shafts. During drilling and blasting construction, seepage failure and hard brittleness damage of the surrounding rock occur frequently. However, previous discussions on stress deformation in the surrounding rock did not consider these two factors. This paper adopts the theory of elastoplastic to analyze the effects of seepage and hard brittleness damage on the stress and deformation of the surrounding rock of a tunnel shaft. The seepage effect is equivalent to the volumetric force, and a mechanical model of the surrounding rock considering seepage and hard brittleness damage was established. An elastoplastic analytical formula for surrounding rock was derived, and its rationality was verified through numerical examples. Based on these findings, this study revealed the plastic zone as well as stress and deformation laws governing the behavior of surrounding rock. The results showed that the radius of a plastic zone had a significant increase under high geostress conditions, considering the hard brittleness damage characteristics of the surrounding rock. The radius of the plastic zone increased with an increase in the initial water pressure and pore pressure coefficient, and the radius of the plastic zone increased by 5.5% and 3.8% for each 0.2 MPa increase in initial water pressure and 0.2 increase in pore pressure coefficient, respectively. Comparing the significant effects of various factors on the radius of the plastic zone, the effect of support resistance inhibition was the most significant, the effect of the seepage parameter promotion was the second, and the effect of the hard brittleness index promotion was relatively poor. The hard brittleness index and water pressure parameters were positively correlated with the tangential and radial stresses in the surrounding rock, and the radial stresses were overall smaller than the tangential stresses. The deformation of the surrounding rock was twice as large as the initial one when hard brittleness damage and seepage acted together. These findings can provide a reference for the stability evaluation of the surrounding rock in tunnel shafts. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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Figure 1
<p>Mechanical calculation model.</p>
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<p>D-P criterion in the <span class="html-italic">π</span> plane.</p>
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<p>Constitutive damage curve of a brittle rock mass.</p>
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<p>Seepage boundary.</p>
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<p>Force analysis of microelements.</p>
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<p>The specific location of the project.</p>
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<p>Tunnel and 2-2 shaft’s surrounding rock seepage damage: (<b>a</b>) Tianshan Shengli Tunnel; (<b>b</b>) 2-2 shaft; (<b>c</b>) The surrounding rock seepage; (<b>d</b>) The surrounding rock damage cracks; (<b>e</b>) Water at the bottom of the shaft; and (<b>f</b>) The flooded working face.</p>
Full article ">Figure 7 Cont.
<p>Tunnel and 2-2 shaft’s surrounding rock seepage damage: (<b>a</b>) Tianshan Shengli Tunnel; (<b>b</b>) 2-2 shaft; (<b>c</b>) The surrounding rock seepage; (<b>d</b>) The surrounding rock damage cracks; (<b>e</b>) Water at the bottom of the shaft; and (<b>f</b>) The flooded working face.</p>
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<p>Water pressure monitoring plan.</p>
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<p>Numerical calculation model and comparison of results [<a href="#B42-symmetry-16-01266" class="html-bibr">42</a>]: (<b>a</b>) Two-dimensional numerical model and (<b>b</b>) Comparison of solution results.</p>
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<p><span class="html-italic">r</span><sub>p</sub>-<span class="html-italic">n</span> relationship curve: (<b>a</b>) <span class="html-italic">r</span><sub>p</sub>-<span class="html-italic">n</span> relationship curve at <span class="html-italic">p</span><sub>0</sub> = 20 MPa and (<b>b</b>) <span class="html-italic">r</span><sub>p</sub>-<span class="html-italic">n</span> relationship curve at <span class="html-italic">p</span><sub>0</sub> = 30 MPa.</p>
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<p>Relation curve between the seepage parameters and the plastic zone: (<b>a</b>) Curve of the <span class="html-italic">r</span><sub>p</sub>-<span class="html-italic">n</span> relationship at different <span class="html-italic">p</span><sub>w0</sub> values and (<b>b</b>) Curve of the <span class="html-italic">r</span><sub>p</sub>-<span class="html-italic">n</span> relationship at different <span class="html-italic">p</span><sub>w0</sub> values.</p>
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<p>Relation curves between the support resistance and plastic zone: (<b>a</b>) Curve of the <span class="html-italic">r</span><sub>p</sub>-<span class="html-italic">p<sub>a</sub></span> relationship at different <span class="html-italic">n</span> values and (<b>b</b>) Curve of the <span class="html-italic">r</span><sub>p</sub>-<span class="html-italic">p<sub>a</sub></span> relationship at different <span class="html-italic">p</span><sub>w0</sub> values.</p>
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<p>Relationships between the seepage and brittle parameters and the surrounding rock stress: (<b>a</b>) <span class="html-italic">σ<sub>θ</sub></span>, <span class="html-italic">σ<sub>r</sub></span>―<span class="html-italic">p<sub>a</sub></span> relationship curves under different <span class="html-italic">n</span> conditions and (<b>b</b>) <span class="html-italic">σ<sub>θ</sub></span>, <span class="html-italic">σ<sub>r</sub></span>—<span class="html-italic">p<sub>a</sub></span> relationship curves under different <span class="html-italic">p</span><sub>w0</sub> conditions.</p>
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<p>Relationships between the seepage and brittle parameters and shaft lining displacement: (<b>a</b>) <span class="html-italic">u<sub>r</sub></span><sup>p</sup> curves under different <span class="html-italic">n</span> conditions and (<b>b</b>) <span class="html-italic">u<sub>r</sub></span><sup>p</sup> under different <span class="html-italic">p</span><sub>w0</sub> conditions.</p>
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<p>The impact curve of the <span class="html-italic">p</span><sub>w0</sub> and <span class="html-italic">n</span> on <span class="html-italic">u</span><sub>r</sub><sup>p</sup> curve.</p>
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25 pages, 11685 KiB  
Article
Study on the Effect of Burial Depth on Selection of Optimal Intensity Measures for Advanced Fragility Analysis of Horseshoe-Shaped Tunnels in Soft Soil
by Tao Du, Tongwei Zhang, Shudong Zhou, Jinghan Zhang, Yi Zhang and Weijia Li
Symmetry 2024, 16(7), 859; https://doi.org/10.3390/sym16070859 - 7 Jul 2024
Viewed by 1244
Abstract
Seismic intensity measures (IMs) can directly affect the seismic risk assessment and the response characteristics of underground structures, especially when considering the key variable of burial depth. This means that the optimal seismic IMs must be selected to match the underground structure under [...] Read more.
Seismic intensity measures (IMs) can directly affect the seismic risk assessment and the response characteristics of underground structures, especially when considering the key variable of burial depth. This means that the optimal seismic IMs must be selected to match the underground structure under different buried depth conditions. In the field of seismic engineering design, peak ground acceleration (PGA) is widely recognized as the optimal IM, especially in the seismic design code for aboveground structures. However, for the seismic evaluation of underground structures, the applicability and effectiveness still face certain doubts and discussions. In addition, the adverse effects of earthquakes on tunnels in soft soil are particularly prominent. This study aims to determine the optimal IMs applicable to different burial depths for horseshoe-shaped tunnels in soft soil using a nonlinear dynamic time history analysis method, and based on this, establish the seismic fragility curves that can accurately predict the probability of tunnel damage. The nonlinear finite element analysis model for the soil–tunnel interaction system was established. The effects of different burial depths on damage to horseshoe-shaped tunnels in soft soil were systematically studied. By adopting the incremental dynamic analysis (IDA) method and assessing the correlation, efficiency, practicality, and proficiency of the potential IMs, the optimal IMs were determined. The analysis indicates that PGA emerges as the optimal IM for shallow tunnels, whereas peak ground velocity (PGV) stands as the optimal IM for medium-depth tunnels. Furthermore, for deep tunnels, velocity spectral intensity (VSI) emerges as the optimal IM. Finally, the seismic fragility curves for horseshoe-shaped tunnels in soft soil were built. The proposed fragility curves can provide a quantitative tool for evaluating seismic disaster risk, and are of great significance for improving the overall seismic resistance and disaster resilience of society. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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<p>Procedure diagram for the establishment of fragility curves of horseshoe-shaped tunnels.</p>
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<p>Schematic diagram of horseshoe-shaped tunnel: (<b>a</b>) cross-section size; (<b>b</b>) reinforcement arrangement.</p>
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<p>Schematic diagram mesh size for the semi symmetric model.</p>
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<p>The boundary conditions of the model.</p>
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<p>Soil profile and geotechnical properties with depth.</p>
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<p>Adopted shear modulus reduction curves and damping curves for soil stratum: (<b>a</b>) G–shear strain curves of soil stratum; (<b>b</b>) damping ratio–shear strain curves of soil stratum.</p>
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<p>Finite element model of soil–tunnel system with different burial depths: (<b>a</b>) shallow burial depth; (<b>b</b>) medium depth; (<b>c</b>) deep burial depth.</p>
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<p>The constitutive models of the materials used in tunnel lining: (<b>a</b>) reinforcement; (<b>b</b>) concrete.</p>
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<p>The response spectrum curve of the selected ground motions and the design response spectrum curves.</p>
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<p>The compression damage distributions under action of typical ground motion Eq.2: (<b>a</b>) shallow tunnel; (<b>b</b>) medium-deep tunnel; (<b>c</b>) deep tunnel.</p>
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<p>The tensile damage distributions under action of typical ground motion Eq.2: (<b>a</b>) shallow tunnel; (<b>b</b>) medium-deep tunnel; (<b>c</b>) deep tunnel.</p>
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<p>Linear regression analysis between typical IMs and DM for the shallow tunnel: (<b>a</b>) PGA, <span class="html-italic">R</span><sup>2</sup> = 0.898; (<b>b</b>) PGV, <span class="html-italic">R</span><sup>2</sup> = 0.733; (<b>c</b>) PGD, <span class="html-italic">R</span><sup>2</sup> = 0.272.</p>
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<p>Correlation coefficient <span class="html-italic">R</span><sup>2</sup> for the 17 potential IMs based on the regression analysis of the tunnel: (<b>a</b>) shallow tunnel; (<b>b</b>) medium-deep tunnel; (<b>c</b>) deep tunnel.</p>
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<p>Efficiency parameter <span class="html-italic">β</span><sub>d</sub> for the 17 potential IMs based on the nonlinear dynamic analysis of the tunnel: (<b>a</b>) shallow tunnel; (<b>b</b>) medium-deep tunnel; (<b>c</b>) deep tunnel.</p>
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<p>Practical coefficient <span class="html-italic">b</span> for the 17 potential IMs based on the regression analysis of the tunnel: (<b>a</b>) shallow tunnel; (<b>b</b>) medium-deep tunnel; (<b>c</b>) deep tunnel.</p>
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<p>Proficient coefficient <span class="html-italic">ζ</span> for the 17 potential IMs based on the regression analysis of the tunnel: (<b>a</b>) shallow tunnel; (<b>b</b>) medium deep tunnel; (<b>c</b>) deep tunnel.</p>
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<p>Three most correlated, efficient, practical, and proficient IMs for tunnels: (<b>a</b>) shallow tunnel; (<b>b</b>) medium-deep tunnel; (<b>c</b>) deep tunnel.</p>
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<p>The fragility curves for the horseshoe-shaped tunnel in soft soil: (<b>a</b>) shallow tunnel; (<b>b</b>) medium-deep tunnel; (<b>c</b>) deep tunnel.</p>
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21 pages, 9998 KiB  
Article
Under Sulfate Dry–Wet Cycling: Exploring the Symmetry of the Mechanical Performance Trend and Grey Prediction of Lightweight Aggregate Concrete with Silica Powder Content
by Hailong Wang, Yaolu Chen and Hongshan Wang
Symmetry 2024, 16(3), 275; https://doi.org/10.3390/sym16030275 - 26 Feb 2024
Viewed by 1378
Abstract
In order to improve the mechanical properties and durability of lightweight aggregate concrete in extreme environments, this study utilized Inner Mongolia pumice as the coarse aggregate to formulate pumice lightweight aggregate concrete (P-LWAC) with a silica powder content of 0%, 2%, 4%, 6%, [...] Read more.
In order to improve the mechanical properties and durability of lightweight aggregate concrete in extreme environments, this study utilized Inner Mongolia pumice as the coarse aggregate to formulate pumice lightweight aggregate concrete (P-LWAC) with a silica powder content of 0%, 2%, 4%, 6%, 8%, and 10%. Under sulfate dry–wet cycling conditions, this study mainly conducted a mass loss rate test, compressive strength test, NMR test, and SEM test to investigate the improvement effect of silica powder content on the corrosion resistance performance of P-LWAC. In addition, using grey prediction theory, the relationship between pore characteristic parameters and compressive strength was elucidated, and a grey prediction model GM (1,3) was established to predict the compressive strength of P-LWAC after cycling. Research indicates that under sulfate corrosion conditions, as the cycle times and silica powder content increased, the corrosion resistance of P-LWAC showed a trend of first increasing and then decreasing. At 60 cycles, P-LWAC with a content of 6% exhibited the lowest mass loss rate and the highest relative dynamic elastic modulus, compressive strength, and corrosion resistance coefficient. From the perspective of data distribution, various durability indicators showed a clear mirror symmetry towards both sides with a silica powder content of 6% as the symmetrical center. The addition of silica fume reduced the porosity and permeability of P-LWAC, enhanced the saturation degree of bound fluid, and facilitated internal structural development from harmful pores towards less harmful and harmless pores, a feature most prominent at the 6% silica fume mixing ratio. In addition, a bound fluid saturation and pore size of 0.02~0.05 μm/% exerted the most significant influence on the compressive strength of P-LWAC subjected to 90 dry–wet cycles. Based on these two factors, grey prediction model GM (1,3) was established. This model can accurately evaluate the durability of P-LWAC, improving the efficiency of curing decision-making and construction of concrete materials. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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<p>Specimen preparation process.</p>
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<p>The testing apparatus.</p>
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<p>Mass loss rate of P-LWAC. (<b>a</b>) based on number of dry-wet cycle; (<b>b</b>) based on number of silica powder content.</p>
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<p>Relative dynamic elastic modulus of P-LWAC. (<b>a</b>) based on number of dry-wet cycle; (<b>b</b>) based on number of silica powder content.</p>
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<p>Compressive strength of P-LWAC after the dry–wet cycle.</p>
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<p>The relationship between the silica powder content and the corrosion resistance coefficient.</p>
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<p>NMR relaxation time <span class="html-italic">T</span><sub>2</sub> spectrum distribution of P-LWAC. (<b>a</b>) 0 dry–wet cycles of P-LWAC; (<b>b</b>) 90 dry–wet cycles of P-LWAC.</p>
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<p>NMR pore radius distribution of P-LWAC.</p>
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<p>Pore size proportions of P-LWAC. (<b>a</b>) 0 dry–wet cycles of P-LWAC; (<b>b</b>) 90 dry–wet cycles of P-LWAC.</p>
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<p>SEM of 0 dry–wet cycles. (<b>a</b>) C-0; (<b>b</b>) C-6; (<b>c</b>) C-10.</p>
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<p>SEM of 90 dry–wet cycles. (<b>a</b>) C-0; (<b>b</b>) C-6; (<b>c</b>) C-10.</p>
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<p>NMR porosity, permeability, and bound fluid saturation of P-LWAC. (<b>a</b>) 0 dry–wet cycles of P-LWAC; (<b>b</b>) 90 dry–wet cycles of P-LWAC.</p>
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18 pages, 7128 KiB  
Article
Analysis of Vibration Responses Induced by Metro Operations Using a Probabilistic Method
by Zongzhen Wu, Chunyang Li, Weifeng Liu, Donghai Li, Wenbin Wang and Bin Zhu
Symmetry 2024, 16(2), 145; https://doi.org/10.3390/sym16020145 - 26 Jan 2024
Cited by 2 | Viewed by 1198
Abstract
The environmental vibrations of tunnels and soil caused by metro operations is one of the most important issues in the field of environmental geotechnical engineering. Recent studies in metro-induced vibrations have revealed significant uncertainties in the vibration responses of tunnels and the surrounding [...] Read more.
The environmental vibrations of tunnels and soil caused by metro operations is one of the most important issues in the field of environmental geotechnical engineering. Recent studies in metro-induced vibrations have revealed significant uncertainties in the vibration responses of tunnels and the surrounding soil. A two-step method of obtaining train loads considering uncertainty was introduced. The first step was to obtain the train loads via an inverse model based on measurements, and the second step was to quantify the uncertainty of train loads based on complex principal component analysis. A portion of a tunnel of the Beijing metro was selected as the object of study, where the vertical accelerations on the rail and on the tunnel wall were measured under different train speeds of 35, 45 and 55 km/h. Inputting the train loads based on the measured rail accelerations into an axisymmetric numerical model, established using ANSYS, the vibration responses of the tunnel wall in a probabilistic framework were calculated and were compared with the measured results. By using an accuracy index that considers both calculation bias and uncertainty, the accuracy of the calculated vibration response was quantitatively evaluated. It can be concluded that the calculated vibration response can reflect the actual vibration level and uncertainty of the tunnel wall. The accuracies of the calculated results under different speeds were generally high while showing a slight difference in amplitude. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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<p>The process of obtaining the train loads and quantifying the uncertainties.</p>
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<p>Cumulative distribution function of chi-squared distribution.</p>
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<p>The measurement of accelerations on rail and tunnel wall.</p>
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<p>The measured vertical rail accelerations of the different speeds: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The first principal component and its contribution factor for different speeds: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The first principal component and its contribution factor for different speeds: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The samples of train loads for different speeds: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The train loads after averaging process in the time domain and in the frequency domain for different speeds: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The train loads after averaging process in the time domain and in the frequency domain for different speeds: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The numerical tunnel–soil model.</p>
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<p>The 90% confidence interval of instantaneous RMS of vertical accelerations on the tunnel wall: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The 90% confidence interval of the one-third octave bands of vertical accelerations on the tunnel wall: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The PAI values of the one-third octave bands of vertical accelerations on the tunnel wall.</p>
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<p>The probabilistic distribution histograms and fitting curves (red lines) of the maximum Z vibration levels of vertical accelerations on the tunnel wall: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The probabilistic distribution histograms and fitting curves (red lines) of the maximum Z vibration levels of vertical accelerations on the tunnel wall: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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<p>The joint distributions of predicted and measured maximum Z vibration levels on the tunnel wall: (<b>a</b>) 35 km/h, (<b>b</b>) 45 km/h, (<b>c</b>) 55 km/h.</p>
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28 pages, 19285 KiB  
Article
Solving Conformal Mapping Issues in Tunnel Engineering
by Wenbo Chen, Dingli Zhang, Qian Fang, Xuanhao Chen and Lin Yu
Symmetry 2024, 16(1), 86; https://doi.org/10.3390/sym16010086 - 10 Jan 2024
Cited by 1 | Viewed by 1908
Abstract
The calculation of conformal mapping for irregular domains is a crucial step in deriving analytical and semi-analytical solutions for irregularly shaped tunnels in rock masses using complex theory. The optimization methods, iteration methods, and the extended Melentiev’s method have been developed and adopted [...] Read more.
The calculation of conformal mapping for irregular domains is a crucial step in deriving analytical and semi-analytical solutions for irregularly shaped tunnels in rock masses using complex theory. The optimization methods, iteration methods, and the extended Melentiev’s method have been developed and adopted to calculate the conformal mapping function in tunnel engineering. According to the strict definition and theorems of conformal mapping, it is proven that these three methods only map boundaries and do not guarantee the mapping’s conformal properties due to inherent limitations. Notably, there are other challenges in applying conformal mapping to tunnel engineering. To tackle these issues, a practical procedure is proposed for the conformal mapping of common tunnels in rock masses. The procedure is based on the extended SC transformation formulas and corresponding numerical methods. The discretization codes for polygonal, multi-arc, smooth curve, and mixed boundaries are programmed and embedded into the procedure, catering to both simply and multiply connected domains. Six cases of conformal mapping for typical tunnel cross sections, including rectangular tunnels, multi-arc tunnels, horseshoe-shaped tunnels, and symmetric and asymmetric multiple tunnels at depth, are performed and illustrated. Furthermore, this article also illustrates the use of the conformal mapping method for shallow tunnels, which aligns with the symmetry principle of conformal mapping. Finally, the discussion highlights the use of an explicit power function as an approximation method for symmetric tunnels, outlining its key points. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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<p>Illustration of the existence and uniqueness theorem for a simply connected domain.</p>
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<p>Illustration of the existence and uniqueness theorem for a doubly connected domain.</p>
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<p>Illustration of iteration method for boundary mapping.</p>
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<p>Illustration of iteration method for boundary mapping.</p>
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<p>Bijectivity test of Laurent series function.</p>
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<p>Conformal mapping from an elliptic domain into a circular domain.</p>
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<p>Conformal mapping from doubly connected domains into annulus domains.</p>
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<p>Bounded multiply connected domain.</p>
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<p>Flow diagram of the conformal mapping procedure.</p>
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<p>Tunnel sectional drawing of Case 1.</p>
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<p>Conformal mapping of the rock domain in Case 1.</p>
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<p>Inverse conformal mapping of the rock domain in Case 1.</p>
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<p>Conformal mapping of the lining domain in Case 1.</p>
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<p>Inverse conformal mapping of the lining domain in Case 1.</p>
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<p>Tunnel sectional drawing of Case 2.</p>
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<p>Conformal mapping of the rock domain in Case 2.</p>
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<p>Inverse conformal mapping of the rock domain in Case 2.</p>
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<p>Conformal mapping of the reinforcement domain in Case 2.</p>
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<p>Inverse conformal mapping of the reinforcement domain in Case 2.</p>
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<p>Conformal mapping of the lining domain in Case 2.</p>
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<p>Inverse conformal mapping of the lining domain in Case 2.</p>
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<p>Tunnel sectional drawing of Case 3.</p>
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<p>Conformal mapping of the rock domain in Case 3.</p>
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<p>Inverse conformal mapping of the rock domain in Case 3.</p>
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<p>Conformal mapping and inverse mapping of the lining domain in Case 3.</p>
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<p>Tunnel sectional drawing of Case 4.</p>
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<p>Conformal mapping of the rock domain in Case 4.</p>
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<p>Inverse conformal mapping of the rock domain in Case 4.</p>
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<p>Inverse conformal mapping of the rock domain in Case 4.</p>
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<p>Conformal mapping of the lining domain in Case 4.</p>
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<p>Sectional drawing of Case 5.</p>
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<p>Inverse conformal mapping of the rock domain in Case 5.</p>
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<p>Tunnel sectional drawing of Case 6.</p>
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<p>Inverse conformal mapping of the rock domain in Case 6.</p>
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<p>Conformal mapping for a shallow circular tunnel.</p>
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<p>Tunnel sectional drawing of Case 7.</p>
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<p>Inverse conformal mapping of the rock domain in Case 7.</p>
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<p>Conformal mapping of the rock domain in Case 7.</p>
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<p>Illustration of approximate conformal mapping of the rock domain in Case 3.</p>
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<p>Approximation error for approximate conformal mapping of the rock domain in Case 3.</p>
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<p>Illustration of approximate conformal mapping of the rock domain in Case 4.</p>
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<p>Approximation error for approximate conformal mapping of the rock domain in Case 3.</p>
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18 pages, 9436 KiB  
Article
A Study of Anchor Cable and C-Shaped Tube Support for the Roadway of Shuangliu Coal Mine
by Li Li, Xiang-Song Kong, Wei Yang, Jun-Wei Huang and Zhi-En Wang
Symmetry 2023, 15(9), 1757; https://doi.org/10.3390/sym15091757 - 13 Sep 2023
Cited by 5 | Viewed by 1432
Abstract
Active support using highly prestressed cable bolts and anchor cables has become a mainstream support technology for coal mine roadways. However, the ability of bolts and anchor cables to withstand transverse shear decreases with the prestress level, jeopardizing mining safety. This study proposed [...] Read more.
Active support using highly prestressed cable bolts and anchor cables has become a mainstream support technology for coal mine roadways. However, the ability of bolts and anchor cables to withstand transverse shear decreases with the prestress level, jeopardizing mining safety. This study proposed a technical solution to this problem featuring anchor cables enclosed in an axisymmetrical tube with a C-shaped cross-section (ACC), which are highly prestressed and can withstand high transverse shear. The ACC mechanical performance was tested in the #318 gas extraction roadway of the Shuangliu Coal Mine, China, characterized by extensive deformation under original support conditions. Theoretical analysis, laboratory tests, numerical simulation, and field tests were performed to analyze the shear mechanical properties of the ACC and anchor cables alone. The double shear test results revealed that the proposed ACC scheme increased the transverse shear resistance and stiffness by 10–25% and 20–40%, respectively. The FLAC3D numerical simulation showed that the roof-and-floor and rib-to-rib convergences decreased by 9.53 and 25.11%, respectively. The area of the stress concentration zone also decreased. Field monitoring showed that the ACC achieved good support performance. During the monitoring period, the maximum roof-and-floor and rib-to-rib displacements were 40 and 49 mm, respectively. The ACC scheme offered adequate shear resistance and effectively controlled surrounding rock deformation in the gas extraction roadway under study, making it applicable to similar engineering scenarios. Full article
(This article belongs to the Special Issue Symmetry in Civil Transportation Engineering)
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<p>Failure of the bolt and anchor cables due to shear damage.</p>
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<p>Structural drawing of ACC: (<b>a</b>) schematic; (<b>b</b>) photo.</p>
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<p>Schematic diagram of the closure of the C-shaped tube.</p>
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<p>Schematic diagram of the radial resistance of the C-shaped tube.</p>
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<p>Equipment for tensile and shear tests of ACC.</p>
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<p>Photo of the double shear test block.</p>
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<p>Photos of broken ACC and anchor cables due to tensile and shear stress: (<b>a</b>) Φ21.6 mm ACC, (<b>b</b>) Φ21.8 mm ACC, (<b>c</b>) Φ21.6 mm anchor cable, and (<b>d</b>) Φ21.8 mm anchor cable.</p>
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<p>Comparison of normal displacement-normal load/axial force curves of the ACC and anchor cable: (<b>a</b>) Φ21.8 mm anchor cable; (<b>b</b>) Φ21.8 mm ACC.</p>
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<p>Comparison of tensile shear test results between anchor cables and ACC: (<b>a</b>) Φ21.6 mm anchor cable &amp; ACC; (<b>b</b>) Φ21.8 mm anchor cable &amp; ACC.</p>
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<p>The original support layout of the #318 extraction roadway.</p>
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<p>Photos of deformation failure of the roadway: (<b>a</b>) roof breakage; (<b>b</b>) severe floor heave; (<b>c</b>) severe rib deformation; (<b>d</b>) W-shaped steel belt bending.</p>
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<p>Photos of the bolt and anchor cable breakage in the roadway: (<b>a</b>) bolt shearing; (<b>b</b>) anchor cables damaged by shearing.</p>
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<p>Schematic diagram of ACC in the roadway cross-section.</p>
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<p>Numerical simulation model.</p>
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<p>Stress distributions under the original (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>) and ACC (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) support schemes.</p>
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<p>Displacement distributions under the original (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>) and ACC (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) support schemes.</p>
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<p>Distributions of plastic zones in the two support schemes: (<b>a</b>) the original support scheme; (<b>b</b>) ACC support scheme.</p>
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<p>Field monitoring data in the #318 extraction roadway using ACC.</p>
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