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Applied Sciences
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Advances in Disaster Prevention and Reduction for Geotechnical Engineering
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Advances in Disaster Prevention and Reduction for Geotechnical Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 4744

Special Issue Editor

Prof. Dr. Xilin Lv

E-Mail Website
Guest Editor
Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
Interests: urban underground engineering; slope stability; subgrade settlement control; intelligent geotechnical engineering; high-performance numerical algorithms

Special Issue Information

Dear Colleagues,

With the rapid development of urban and rural infrastructure construction, resource exploitation, etc., the fast growth of geotechnical projects may result in many geotechnical disasters, which cause severe economical losses and environmental destruction. The prediction of, prevention of, and reduction in environmental effects and disaster probability are the key challenges in geotechnical engineering. More environmentally friendly and effective countermeasures should be proposed and studied based on new theories and technologies.

Although relevant technologies have engendered progress, massive constructions and developments (e.g., underground space utilizations, transportation infrastructures, hydraulic structures, and energy exploitations) still face tough challenges in safety control. Therefore, this Special Issue (“Advances in Disaster Prevention and Reduction for Geotechnical Engineering”) is intended for presenting new experimental techniques, numerical modellings, and geotechnical engineering investigations to facilitate stability assessment and environmental impact analysis, so that geotechnical engineering disasters can be predicted and prevented.

Topics of interest include, but are not limited to, the following:

  • Basic properties of geomaterials;
  • Constitutive relationship;
  • Instability, localization, and failure;
  • Soil dynamics and earthquake engineering;
  • Slope stability;
  • Tailings dam safety;
  • Geological hazards;
  • Prevention and mitigation of underground engineering disasters;
  • Transportation geotechnical disaster reduction;
  • Energy geotechnical disaster reduction.

Prof. Dr. Xilin Lv
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

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Research

13 pages, 2398 KiB  
Article
A Study on Developing a Model for Predicting the Compression Index of the South Coast Clay of Korea Using Statistical Analysis and Machine Learning Techniques
by Sungyeol Lee, Jaemo Kang, Jinyoung Kim, Wonjin Baek and Hyeonjun Yoon
Appl. Sci. 2024, 14(3), 952; https://doi.org/10.3390/app14030952 - 23 Jan 2024
Viewed by 572
Abstract
As large cities are continually being developed around coastal areas, structural damage due to the consolidation settlement of soft ground is becoming more of a problem. Estimating consolidation settlement requires calculating an accurate compressive index through consolidation tests. However, these tests are time-consuming, [...] Read more.
As large cities are continually being developed around coastal areas, structural damage due to the consolidation settlement of soft ground is becoming more of a problem. Estimating consolidation settlement requires calculating an accurate compressive index through consolidation tests. However, these tests are time-consuming, and there is a risk of the test results becoming compromised while preparing and testing the specimens. Therefore, predicting the compression index based on the results of relatively simple physical property tests enables more reliable and accurate predictions of consolidation settlement by calculating the compression index at multiple points. In this context, this study collected geotechnical data from the soft ground of Korea’s south coast. The collected data were used to construct a dataset for developing a compression index prediction model, and significant influencing factors were identified through Pearson correlation analysis. Simple and multiple linear regression analysis was performed using these factors to derive regression equations, and compression index prediction models were developed by applying machine learning algorithms. The results of deriving the significance of the influencing factors from the developed compression index prediction model showed that natural water content was the most significant factor in predicting the compression index. By collecting a significant amount of high-quality data and using the compression index prediction model and the model construction process proposed in this study, more accurate predictions of the compressive index will be possible in the future. Full article
(This article belongs to the Special Issue Advances in Disaster Prevention and Reduction for Geotechnical Engineering)
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16 pages, 5067 KiB  
Article
The Impact of Vegetation Roots on Shallow Stability of Expansive Soil Slope under Rainfall Conditions
by Yangming Wang, Weisheng Xu, Zhe Wang and Yingna Zhu
Appl. Sci. 2023, 13(21), 11619; https://doi.org/10.3390/app132111619 - 24 Oct 2023
Cited by 2 | Viewed by 774
Abstract
The impact of reinforcing vegetation roots on the stability of expansive soil slopes with moisture absorption and expansion was investigated. Then, poinsettia is selected as the slope protection plant, and ABAQUS software (version 2022) with secondary development is used to simulate the moisture [...] Read more.
The impact of reinforcing vegetation roots on the stability of expansive soil slopes with moisture absorption and expansion was investigated. Then, poinsettia is selected as the slope protection plant, and ABAQUS software (version 2022) with secondary development is used to simulate the moisture absorption and expansion of the expansive soil slope. After that, the strength reduction method is employed to study the effects on the displacement and plastic zone, and on the shallow layer of the expansive soil slope at different rainfall conditions. The following points are revealed: (1) The roots of the poinsettia can reduce the displacement of the slope. But, when the rainfall intensity exceeds the soil permeability coefficient, the soil reinforcement effect decreases. (2) The poinsettia root system can alleviate the concentration of plastic strain, disperse the plastic zone, and increase slope stability along the distribution of the roots. (3) The poinsettia roots can improve the shallow stability of the slope. But when the rainfall intensity exceeds the surface permeability coefficient, the magnitude of the reinforcement decreases. The results demonstrate that the poinsettia roots can enhance shallow slope stability. However, with increasing rainfall intensity, the ability of the poinsettia roots to enhance shallow slope stability gradually weakens. Full article
(This article belongs to the Special Issue Advances in Disaster Prevention and Reduction for Geotechnical Engineering)
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13 pages, 5248 KiB  
Article
Discrete Element Simple Shear Test Considering Particle Shape
by Houying Zhu, Xuefeng Li, Longlong Lv and Qi Yuan
Appl. Sci. 2023, 13(20), 11382; https://doi.org/10.3390/app132011382 - 17 Oct 2023
Viewed by 751
Abstract
The particle shape has significant effects on the slip and rotation of particles in the shear of geomaterials, which is an important factor in the deformation and strength of geomaterials. This paper employed particle flow code (PFC3D) to simulate the simple [...] Read more.
The particle shape has significant effects on the slip and rotation of particles in the shear of geomaterials, which is an important factor in the deformation and strength of geomaterials. This paper employed particle flow code (PFC3D) to simulate the simple shear test, and ellipsoidal particles with different aspect ratios were prepared to study the effects of particle shape on the mechanical behavior and fabric evolution of granular materials under complex stress paths. The numerical results show that the particle shape has a significant effect on the peak strength, dilatancy, non-coaxiality, and other mechanical properties of granular materials. The contact fabric evolves from orthotropy to transverse isotropy under the principal stress axes rotation. This paper will provide a reference for natural granular materials with different shapes in the study of mechanical behavior and the micro-constitutive model. Full article
(This article belongs to the Special Issue Advances in Disaster Prevention and Reduction for Geotechnical Engineering)
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14 pages, 1473 KiB  
Article
A Study on Factors Influencing Ground Subsidence and a Risk Analysis Method Using the Attributes of Sewer Pipes
by Sungyeol Lee, Jaemo Kang and Jinyoung Kim
Appl. Sci. 2023, 13(17), 9714; https://doi.org/10.3390/app13179714 - 28 Aug 2023
Viewed by 745
Abstract
In recent years, we have witnessed an increase in road subsidence accidents in urban areas, threatening the safety of citizens. Various road facilities, such as water and sewage pipes, and telecommunication facilities are buried under roads, and the aging of these facilities is [...] Read more.
In recent years, we have witnessed an increase in road subsidence accidents in urban areas, threatening the safety of citizens. Various road facilities, such as water and sewage pipes, and telecommunication facilities are buried under roads, and the aging of these facilities is one of the factors causing road subsidence. In particular, old sewer pipes are a primary cause of road subsidence. However, most maintenance work on such facilities is carried out based on how long ago they were buried underground, without considering the risk of road subsidence caused by them. Therefore, this study aims to present a reliable method to assess road subsidence risk that considers various sewer pipe specifications and the environment surrounding them. To derive the factors influencing subsidence, sewer pipes near the target region, where road subsidence occurs the most, were extracted to analyze the correlation between road subsidence, pipe integrity, and the surrounding environment. An effective analysis method was selected by comparing logistic regression analysis and AHP (Analytic Hierarchy Process) analysis, and a weighted road subsidence risk assessment method was proposed by evaluating the importance of factors affecting ground subsidence. Its applicability was examined by comparing actual road subsidence data and analyzing risk in a pilot study area to validate the reliability of the proposed methodology. The results showed that it was possible to make reliable predictions of road subsidence risk areas. Full article
(This article belongs to the Special Issue Advances in Disaster Prevention and Reduction for Geotechnical Engineering)
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19 pages, 5142 KiB  
Article
The Hypoplastic Constitutive Model for Sandy Soil Considering the Rotation of the Principal Stress Axis
by Xuefeng Li, Guowei Fan and Yuqi He
Appl. Sci. 2023, 13(12), 6993; https://doi.org/10.3390/app13126993 - 09 Jun 2023
Viewed by 1049
Abstract
Considering the influence of fabric on the critical state of sandy soil, an anisotropic hypoplastic constitutive model is developed by introducing the anisotropic critical state line that takes into account the rotation of the principal stress axes. With the introduction of new anisotropic [...] Read more.
Considering the influence of fabric on the critical state of sandy soil, an anisotropic hypoplastic constitutive model is developed by introducing the anisotropic critical state line that takes into account the rotation of the principal stress axes. With the introduction of new anisotropic state variables defined by the joint invariants of the stress tensor and fabric tensor, the critical state equation of sandy soil is established to describe the effects of three factors, namely, anisotropic parameters, stress states, and the relationship between principal stresses and fabric directions, on the critical state. The mechanical response of sandy soil under different deposition angles can be described by considering the rotation of principal stresses relative to the fabric. The application range of Wu et al.’s isotropic hypoplastic model (2017) is extended by incorporating the effect of principal stress rotation on the stress–strain relationship of sandy soil. Based on a series of Toyoura sand plane strain tests, the effects of void ratio, confining pressure, and principal stress axis rotation angle on anisotropic strength and deformation characteristics are simulated under low confining pressure. Furthermore, a comparison with Wu’s transversely isotropic hypoplastic model (1998) is made regarding their simulation performances. The proposed model exhibits a balanced performance when simulating the variation of anisotropy in both strength and deformation with respect to the rotation angle, without being overestimated within a certain range of rotation angles. The prediction results demonstrate, to a certain degree, the validity and effectiveness of the proposed model. Full article
(This article belongs to the Special Issue Advances in Disaster Prevention and Reduction for Geotechnical Engineering)
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