Smart Disaster Prevention, Risk Reduction and Post-Disaster Rescue in Civil Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 24
Special Issue Editors
Interests: smart disaster prevention; structural vibration control; multi-disaster reduction
Interests: vibration control; dynamic response recognition; wind and earthquake resistance
Interests: structural vibration control; structural dynamics; structural health monitoring; preventing structural collapse; 3D base isolation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Against the backdrop of global climate change and rapid urbanization, natural hazards and extreme events pose increasingly severe threats to human society and infrastructure. Earthquakes, floods, typhoons, and geotechnical disasters not only cause substantial economic losses but also seriously endanger human lives and social stability. In response, the integration of intelligent technologies into civil engineering has emerged as a critical pathway to enhance disaster resilience, optimize risk management, and strengthen post-disaster rescue capabilities. This issue aims to gather cutting-edge research and practical applications on intelligent sensing, advanced equipment, big data analytics, artificial intelligence, digital twins, and robotic technologies for the disaster prediction, structural health monitoring and inspection, disaster mitigation, emergency management, and functional recovery.
Topics of interest include, but are not limited to: AI-based disaster scenario modeling, disaster evolution simulation, structural resilience enhancement, post-disaster assessment, and optimization of rescue resource allocation. By showcasing scientific advances and engineering practices, this special issue is dedicated to advancing the intelligent transformation of civil engineering and providing solutions for building safer, more resilient, and sustainable urban environments.
Prof. Dr. Jun Dai
Dr. Wenxi Wang
Dr. Xinghuai Huang
Guest Editors
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Keywords
- disaster scenario modeling
- disaster evolution simulation
- disaster mitigation
- structural resilience enhancement
- post-disaster assessment
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