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Advances in Geotechnical and Geological Engineering
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Advances in Geotechnical and Geological Engineering

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

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1157

Special Issue Editors

Prof. Dr. Hang Lin

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: civil engineering; fracture mechanics; finite element modeling; solid mechanics; mechanics of materials; soil structure interaction
Special Issues, Collections and Topics in MDPI journals
Dr. Yifan Chen

E-Mail Website
Guest Editor
Department of Safety Engineering, Central South University, Changsha, China
Interests: rock damage; slope stability; rock mass freeze-thaw damage
Special Issues, Collections and Topics in MDPI journals
Dr. Shijie Xie

E-Mail Website
Guest Editor
School of Civil Engineering, Southeast University, Nanjing 210096, China
Interests: rock mechanics; fracture mechanics; constitutive model; direct shear
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over the past few decades, the design and construction of geological engineering projects such as shallow civil projects, deep mining, oil and gas projects and waste disposal have exploded in quantity and scale, and it is believed that this trend will continue into the future. The study of Geotechnical and Geological Engineering helps in the identification and mitigation of geological hazards, provides optimization in the design and construction of geotechnical structures, and ensures compliance with regulations and standards. Since the study of Geotechnical and Geological Engineering requires a multidisciplinary approach, this topic considers theoretical aspects and experimental work in domain of geology, engineering-geology, geotechnics, environmental engineering, as well in other relevant branches of science. This special issue is therefore committed to and welcomes papers in the areas of soil and rock engineering and also of geology as applied in the civil engineering, mining and petroleum industries. The emphasis is on the engineering aspects of soil and rock mechanics, geology and hydrogeology, although papers on theoretical and experimental advances in ground mechanics are also welcomed for inclusion. Authors are therefore invited to submit their relevant research contributions to this Special Issue.

Prof. Dr. Hang Lin
Dr. Yifan Chen
Dr. Shijie Xie
Guest Editors

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.

Keywords

  • geotechnical engineering
  • soil and rock engineering
  • geo-environmental engineering
  • novel geotechnical construction techniques
  • applied geology for design and construction
  • methods and theories for assessing geological stability
  • rock test and geomechanics analysis
  • numerical simulation

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Published Papers (2 papers)

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Research

24 pages, 22342 KiB  
Article
Numerical Analysis of the Effect of the Rock Particle Size on the Macroscopic Mechanical Properties Under Uniaxial Compression and Shearing
by Chaoyi Yang, Su Li, Xinglong Feng, Zhengrong Li, Xuran Ding and Hang Lin
Appl. Sci. 2025, 15(9), 4882; https://doi.org/10.3390/app15094882 - 28 Apr 2025
Viewed by 129
Abstract
When the distribution characteristics of rock particles are unknown, obtaining reasonable particle size parameters through trial-and-error methods is time-consuming. Therefore, identifying a set of particle size parameters that can accurately reflect the macro-mechanical properties of rock is crucial. In this study, a series [...] Read more.
When the distribution characteristics of rock particles are unknown, obtaining reasonable particle size parameters through trial-and-error methods is time-consuming. Therefore, identifying a set of particle size parameters that can accurately reflect the macro-mechanical properties of rock is crucial. In this study, a series of uniaxial compression and direct shear tests were conducted on standard rock models with varying particle sizes and particle size ratios using the discrete element method (DEM). The results indicate that the uniaxial compressive strength, elastic modulus, and shear stiffness increase with decreasing particle size. Conversely, the uniaxial compressive strength, elastic modulus, and shear stiffness decrease as the particle size ratio increases. Based on the simulation results, the accuracy and reliability of numerical simulations can be ensured when the relative average particle size exceeds 50 and the particle size ratio is greater than 1.5. These findings can be applied to other similar numerical studies, thereby reducing the time required for parameter matching and enhancing the efficiency of scientific research. Full article
(This article belongs to the Special Issue Advances in Geotechnical and Geological Engineering)
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14 pages, 11425 KiB  
Article
Reliability Analysis of Three-Dimensional Slopes Considering the Soil Spatial Variability Based on Particle Swarm Optimization Algorithm
by Xin Chen, Jiale Xu, Yukuai Wan, Rong Yang, Jiewen Sun and Di Wu
Appl. Sci. 2025, 15(5), 2652; https://doi.org/10.3390/app15052652 - 1 Mar 2025
Viewed by 555
Abstract
This paper presents a new algorithm for assessing the reliability of three-dimensional (3D) slope stability considering the spatial variability of soil based on the Particle Swarm Optimization (PSO) algorithm. First, a 3D random field is generated using the Karhunen–Loève (K-L) expansion method. Then, [...] Read more.
This paper presents a new algorithm for assessing the reliability of three-dimensional (3D) slope stability considering the spatial variability of soil based on the Particle Swarm Optimization (PSO) algorithm. First, a 3D random field is generated using the Karhunen–Loève (K-L) expansion method. Then, the simplified Bishop method of limit equilibrium is coupled with the PSO algorithm to calculate safety factors of the slope. Finally, the failure probability of the slope is determined using the Monte Carlo Simulation method. After validating the rationality of the proposed method through a typical case study, this paper offers an in-depth examination of how soil spatial variability affects the stability of 3D slopes. It is observed that, given identical soil correlation lengths, slope geometric parameters, and failure surface widths, the failure probability is positively correlated with soil spatial variability parameters, while the mean safety factor demonstrates an inverse relationship with these variability parameters. Additionally, the failure probability tends to increase as the soil correlation lengths increase, and it also escalates with the expansion of the failure surface width. In contrast, the mean safety factor exhibits an upward trend with the augmentation of the horizontal correlation length, while it diminishes progressively as the vertical correlation length grows, and it also shows a decline with the widening of the failure surface width. The proposed algorithm significantly improves computational efficiency while ensuring accuracy, making it suitable for the reliability analysis of three-dimensional slopes. Full article
(This article belongs to the Special Issue Advances in Geotechnical and Geological Engineering)
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