Geotechnic and Geostructure Modelling for Landslides: Prediction and Control
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrogeology".
Deadline for manuscript submissions: 5 September 2025 | Viewed by 2004
Special Issue Editors
Interests: landslides; rock mechanics; open-pit to underground mining; numerical analysis; physical modelling; mechanical theory; rainfall–mining coupling
Interests: rock mechanics; slope engineering; disaster warning; tunnel supporting; numerical simulations; stability evaluations
Special Issues, Collections and Topics in MDPI journals
Interests: landslides; slope stability; numerical models; similar physical experiments; machine learning; energy analysis; image recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Landslide disasters are a common type of geological disaster worldwide, often posing a serious threat to mining safety as well as to human life and property. Slope structures are prone to landslide geological disasters due to external disturbances (rainfall, earthquakes, freeze–thaw cycles, weathering, etc.). In-depth investigations of geotechnical technology and the geotechnical structure modeling of landslides has important theoretical significance and engineering application value for predicting landslide disasters and reducing risks. Accurately and effectively predicting and controlling the occurrence of such disasters is extremely important. In recent years, the theory of landslide dynamics has gradually matured. Combined with rapid developments in numerical simulation techniques (FEM and DEM), significant achievements have been made in geotechnical technology and the modeling of geotechnical structures related to land-slides.
The purpose of this Special Issue is to provide original research and review papers on the causes and mechanisms of landslide hazards, relevant advanced geotechnical techniques, and geotechnical structure modeling to comprehensively predict landslide hazards and minimize disaster risks to the greatest extent possible. Researchers and engineers are encouraged to share their research findings on advanced geotechnical techniques, numerical modeling methods, and monitoring and early warning systems, as well as disaster prevention strategies for landslides.
Potential topics include, but are not limited to, the following:
- Novel modeling of geostructures;
- Recent progress in landslide dynamics;
- Advanced geotechnical support theories for slopes;
- Laboratory testing methods for geotechnical properties associated with landslides;
- Stability analyses and evaluations of mine slopes under complex conditions;
- Numerical simulations of mine slope stability under multi-field coupling;
- Machine learning algorithms for predicting landslide disasters;
- Investigation and theoretical analyses of the failure mechanisms of landslides;
- Comprehensive assessments the of risks and hazards associated with landslides;
- Policies and measures to mitigate landslide hazards.
Prof. Dr. Xiaoshuang Li
Prof. Dr. Chun Zhu
Dr. Qihang Li
Guest Editors
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Keywords
- landslides
- slope stability
- geotechnical theory
- physical experiment
- numerical modeling
- machine learning
- fail-ure mechanisms
- monitoring and early warning
- rock bolting
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