Advanced Technologies and Optimization for Sustainable Geotechnical Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 10 September 2025 | Viewed by 57
Special Issue Editor
Interests: geotechnical engineering; civil engineering; transportation infrastructure; underground construction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Geotechnical engineering is a complex system that involves the excavation and disturbance of underground engineering, foundation treatment, the stability of ground geotechnical structures, and the interactions between and safety of various geotechnical structures for different engineering purposes. This type of related issue shows the inevitable need for intelligent, resilient, sustainable construction, as well as the development of smart geotechnical engineering, machine learning, artificial intelligence, etc. Therefore, it is important to identify how to optimize construction technology and the usage functions of geotechnical engineering in a manner that reflects their recent development level and that promotes the widespread dissemination of new technologies and materials. This important topic is worthy of the attention of relevant researchers and engineers in the field of large-scale underground engineering construction.
This topic includes the settlement of ground surfaces, the collapse of underground supporting structures, landslides of soil slope, the protrusion and blockage of tunnels, geo-environmental hazards, soil pollution and remediation, etc. For this purpose, it is necessary to investigate the physico-mechanical properties, seepage characteristics, deformation, and strength evolution, as well as the coupled multi-physical fields.
The Special Issue, ‘Advanced Technologies and Optimization for Sustainable Geotechnical Engineering’, will address the most recent developments in low-carbon techniques and green transformations in the construction of large-scale underground engineering to stimulate fruitful technical and scientific interactions between professionals.
Prof. Dr. Bing Bai
Guest Editor
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Keywords
- underground construction
- risk assessment
- resilient construction
- machine learning
- sustainable development
- disturbance effect
- environmental influence
- seepage failure
- multi-physics field coupling
- deformation and strength
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