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Applied Sciences
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New Trends of Digital Technology Application in Geotechnical Engineering
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New Trends of Digital Technology Application in 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 July 2024 | Viewed by 1616

Special Issue Editors

Dr. Suhua Zhou

E-Mail Website
Guest Editor
National Center for International Research Collaboration in Building Safety and Environment, Hunan University, Changsha 410082, China
Interests: georisk; GIS; slope stability analysis
Dr. Xin Tan

E-Mail Website
Guest Editor
College of Civil Engineering, Hunan University, Changsha 410082, China
Interests: foundation engineering; numerical simulation; digital twin
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Geotechnical engineering stands on the precipice of a transformative era, driven by the rapid integration of digital technology into traditional practices. The profound impact of these advancements offers unprecedented opportunities to enhance the efficiency, accuracy, and safety of geotechnical projects. To explore and disseminate these cutting-edge developments, we are pleased to announce a Special Issue titled ‘New Trends of Digital Technology Application in Geotechnical Engineering'.

This Special Issue aims to bring together the latest research, innovations, and breakthroughs that leverage digital technology to revolutionize geotechnical engineering. We welcome original research articles, case studies, and comprehensive reviews focusing on, but not limited to, the following topics:

  • Artificial Intelligence and Machine Learning: Applications of AI and ML algorithms for geotechnical analysis, soil classification, and prediction of ground behavior.
  • Remote Sensing and Monitoring: Use of drones, LiDAR, and satellite imagery for real-time site assessment, monitoring, and hazard detection.
  • Data Integration and Management: Strategies to effectively manage and integrate big data in geotechnical projects for informed decision-making.
  • Digital Twin Technology: Development and utilization of digital twins to simulate and optimize geotechnical systems.
  • Building Information Modeling (BIM) in Geotechnics: Integrating geotechnical data into the BIM environment for enhanced collaboration and clash detection.
  • Internet of Things (IoT) in Geotechnical Monitoring: IoT applications for continuous monitoring of geotechnical structures and infrastructure.
  • Geospatial Analysis: Spatial modeling and geographic information systems (GIS) for geotechnical investigations and hazard assessment.
  • Numerical Simulations: Advancements in numerical methods and simulations for geotechnical analysis and design.
  • Virtual Reality (VR) and Augmented Reality (AR) in Geotechnics: Immersive technologies for visualization and training in geotechnical projects.

Dr. Suhua Zhou
Dr. Xin Tan
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.

Published Papers (2 papers)

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Research

19 pages, 7967 KiB  
Article
Prediction of Water Content in Subgrade Soil in Road Construction Using Hyperspectral Information Obtained through UAV
by Kicheol Lee, Jeongjun Park and Gigwon Hong
Appl. Sci. 2024, 14(3), 1248; https://doi.org/10.3390/app14031248 - 02 Feb 2024
Viewed by 696
Abstract
In road construction, the compaction of the subgrade layer, which is one of the earthwork fields, is an essential procedure to support the pavement layer and traffic load. For the quality control of subgrades, water content must be measured. Currently, the measurement of [...] Read more.
In road construction, the compaction of the subgrade layer, which is one of the earthwork fields, is an essential procedure to support the pavement layer and traffic load. For the quality control of subgrades, water content must be measured. Currently, the measurement of water content is performed at specific locations in a large area of subgrades and has the disadvantage of taking a long time to derive. Because this is difficult to immediately confirm, inefficiencies arise in terms of construction schedule and quality control. Therefore, in this study, a CCM (Color-Coded Map) was proposed through hyperspectral remote sensing using drones. This method is a range-type water-content measurement method that can acquire data in a short time (about 20 min) and can be easily confirmed visually. For this, a predicted equation that can convert hyperspectral information into water content information is developed. Multivariate linear regression, a machine learning technique, was applied to the database (of actual measured water content and hyperspectral information). The predicted and measured water contents showed a coefficient of determination of 0.888, and it was confirmed that CCMs can also be presented in various ways depending on user settings. Full article
(This article belongs to the Special Issue New Trends of Digital Technology Application in Geotechnical Engineering)
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18 pages, 13457 KiB  
Article
A Stability Analysis of an Abandoned Gypsum Mine Based on Numerical Simulation Using the Itasca Model for Advanced Strain Softening Constitutive Model
by Yungang Shi, Huaijian Wang, Xin Tan, Yuxuan Jin, Jiaxu Wang and Bigang Tang
Appl. Sci. 2023, 13(23), 12570; https://doi.org/10.3390/app132312570 - 22 Nov 2023
Viewed by 612
Abstract
An abandoned gypsum mine has been discovered beneath the route of a highway construction in Hunan province, south China. Due to the highway construction and operations safety, there is an urgent need for a comprehensive stability analysis of the abandoned mining area. The [...] Read more.
An abandoned gypsum mine has been discovered beneath the route of a highway construction in Hunan province, south China. Due to the highway construction and operations safety, there is an urgent need for a comprehensive stability analysis of the abandoned mining area. The 3D laser scanning detection technique has been adopted, and over 400 drillholes were strategically placed near the highway to capture the spatial information of the abandoned gypsum mine. The ore body has an average mining thickness of about 3 m, and the depth of the mining roof ranges from 40 to 60 m, with an average span of 16 m. Based on the research achievements in the engineering geological investigation, rock mass quality assessment, and geometry information, a simplified numerical model has been established for stability analysis. The numerical model employed the IMASS rock mass constitutive model to conduct a stability analysis of the abandoned gypsum mine during the excavation process and in the medium to long term. The IMASS constitutive model can effectively reflect the entire process of rock mass from microscopic damage to macroscopic instability, and the numerical simulation of current and long-term stages provides a much greater understanding of the mining room stability and the effect of various geo-mechanical parameters not considered in traditional empirical methods. The abandoned gypsum mine stability is guaranteed in the mining and current stages. However, the numerical results showed that a 0.4 m spalling thickness of the sidewalls can cause an overall instability and failure of the abandoned mine, and reinforcement measures must be taken for long-term safety. The stability of the abandoned gypsum mine with filling solutions was also evaluated numerically. Full article
(This article belongs to the Special Issue New Trends of Digital Technology Application in Geotechnical Engineering)
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