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Computation
Special Issues
Numerical Methods in Geotechnical Engineering
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Numerical Methods in Geotechnical Engineering

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: closed (1 May 2023) | Viewed by 4123

Special Issue Editors

Dr. Suraparb Keawsawasvong

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Guest Editor
Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand
Interests: finite element analysis; limit analysis; deep excavations; solid mechanics; geotechnical stability analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Van Qui Lai

E-Mail Website
Guest Editor
Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City 70000, Vietnam
Interests: geotechnical stability analysis; limit analysis; finite element analysis; pile foundation; deep excavations
Special Issues, Collections and Topics in MDPI journals
Dr. Vinay Bhushan Chauhan

E-Mail Website
Guest Editor
Assistant Professor, Department of Civil Engineering, Madan Mohan Malviya University of Technology, Gorakhpur 273010, India
Interests: earth retaining structures; limit analysis; finite element analysis; foundation analysis; ground improvement techniques

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to numerical simulation methods used in geotechnical engineering. In recent decades, advances in computer technology and the progress of computing power have become more relevant in an increasing spectrum of research disciplines. Several numerical methods such as the finite difference method (FDM), finite element limit analysis (FELA), finite element method (FEM), boundary element method (BEM), discontinuous deformation analysis (DDA) method, discrete element method (DEM), particle flow method (PFM), etc. have been improved and employed to compute many geotechnical problems due to the complexity of such engineering problems. The aim of this Special Issue is to explore recent trends and developments in the numerical methods of geotechnical engineering and their practical applications. In addition, the optimization algorithms, artificial intelligence, hybrid intelligent systems, smart techniques, and applications in the area of geotechnical engineering are also of interest.

Dr. Suraparb Keawsawasvong
Dr. Van Qui Lai
Dr. Vinay Bhushan Chauhan
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. Computation is an international peer-reviewed open access monthly 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 1800 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

  • infrastructure
  • geotechnical
  • finite element
  • optimization algorithms
  • artificial intelligence
  • soil mechanics
  • rock mechanics
  • uncertainties

Published Papers (2 papers)

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Research

13 pages, 3583 KiB  
Article
The Methodology for Assessing and Predicting the Geotechnical Stability of Agricultural Facilities Based on the Methods of Chaos Theory and Multiparametric Analysis
by Anastasia Grecheneva, Elena Khudyakova, Alexandra Shitikova and Marina Stepantsevich
Computation 2022, 10(11), 192; https://0-doi-org.brum.beds.ac.uk/10.3390/computation10110192 - 27 Oct 2022
Viewed by 1199
Abstract
The purpose of this study is to describe a methodology for assessing the geotechnical stability of agricultural facilities, enabling prediction of the state of the geotechnical system, taking into account the influence of external factors and combinations of reactions of the geotechnical system [...] Read more.
The purpose of this study is to describe a methodology for assessing the geotechnical stability of agricultural facilities, enabling prediction of the state of the geotechnical system, taking into account the influence of external factors and combinations of reactions of the geotechnical system under study. According to the methodology, the heterogeneous geotechnical monitoring data obtained are used in an adjusted geotechnical system model, allowing a bifurcation analysis to be carried out. The bifurcation analysis determines critical values of influencing factors, and the limits of stability of the geotechnical system studied parameters are adjusted. The developed methodology was used to assess and predict the geotechnical stability of agricultural facilities during the processing of geoelectric, resistive acoustic, accelerometric and strain-gauge control data obtained in the period from 2016 to 2021. A feature of the geotechnical system under study is the periodic flooding of the building basement caused by the processes of reclamation and irrigation, leading to changes in the groundwater level. The results show that the permissible calculated elastic limit of the foundation elements (32.2–35.1 MPa) before the loss of stability should be significantly reduced with a change in the water content coefficient (W) of the soil base: at W = 0.15 Eb = 30.7–32.0 MPa; at W = 0.35 Eb = 26.8–28.2 MPa; at W = 0.55 Eb = 24.9–25.3 MPa. Full article
(This article belongs to the Special Issue Numerical Methods in Geotechnical Engineering)
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24 pages, 7756 KiB  
Article
Stability Evaluations of Unlined Horseshoe Tunnels Based on Extreme Learning Neural Network
by Thira Jearsiripongkul, Suraparb Keawsawasvong, Rungkhun Banyong, Sorawit Seehavong, Kongtawan Sangjinda, Chanachai Thongchom, Jitesh T. Chavda and Chayut Ngamkhanong
Computation 2022, 10(6), 81; https://0-doi-org.brum.beds.ac.uk/10.3390/computation10060081 - 24 May 2022
Cited by 13 | Viewed by 1854
Abstract
This paper presents an Artificial Neural Network (ANN)-based approach for predicting tunnel stability that is both dependable and accurate. Numerical solutions to the instability of unlined horseshoe tunnels in cohesive-frictional soils are established, primarily by employing numerical upper bound (UB) and lower bound [...] Read more.
This paper presents an Artificial Neural Network (ANN)-based approach for predicting tunnel stability that is both dependable and accurate. Numerical solutions to the instability of unlined horseshoe tunnels in cohesive-frictional soils are established, primarily by employing numerical upper bound (UB) and lower bound (LB) finite element limit analysis (FELA). The training dataset for an ANN model is made up of these numerical solutions. Four dimensionless parameters are required in the parametric analyses, namely the dimensionless overburden factor γD/c′, the cover-depth ratio C/D, the width-depth ratio B/D, and the soil friction angle ϕ. The influence of these dimensionless parameters on the stability factor is explored and illustrated in terms of a design chart. Moreover, the failure mechanisms of a shallow horseshoe tunnel in cohesive-frictional soil that is influenced by the four dimensionless parameters are also provided. Therefore, the current stability solution, based on FELA and ANN models, is presented in this paper, allowing for the efficient and accurate establishment and evaluation of an optimum surcharge loading of shallow horseshoe tunnels in practice. Full article
(This article belongs to the Special Issue Numerical Methods in Geotechnical Engineering)
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