A Geotechnical Study on Landslides: Challenges and Progresses
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 125
Special Issue Editors
Interests: engineering risk; natural disasters; machine learning; multihazard-oriented resilience assessment
Special Issues, Collections and Topics in MDPI journals
Interests: offshore foundations; offshore wind; machine learning; reliability-based design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue invites multidisciplinary contributions addressing the current challenges and breakthroughs within landslide-related geotechnical research. The scope emphasizes the resilience of critical infrastructure impacted by landslides, particularly in mountainous regions. Contributions focusing on the influence of landslides on civil and architectural engineering, water conservancy systems, and transportation networks such as roads and railways are especially welcome. In addition, the issue encourages innovative technical methods for landslide remediation. New approaches including advanced numerical modeling, data-driven risk assessment, machine learning techniques, and cutting-edge remote sensing and field monitoring technologies are sought to improve early warning systems and guide effective mitigation strategies. Research addressing the design and performance evaluation of remedial measures, as well as case studies that integrate laboratory experiments and field investigations, will provide valuable insights for policy-making and urban planning. Ultimately, the Special Issue aims to translate scientific advancements into practical solutions that enhance infrastructure durability, ensure safety, and foster sustainable development in landslide-prone areas.
Prof. Dr. Haijia Wen
Dr. Zhongqiang Liu
Guest Editors
Manuscript Submission Information
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Keywords
- landslides
- infrastructure resilience
- civil engineering
- water conservancy engineering
- road and railway engineering
- landslide remediation
- numerical modeling
- remote sensing
- risk management
- disaster mitigation
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