
Guest Editor in Chief:
Prof. Yishan Pan (Liaoning University, China)
panyish_cn@sina.com
Guest Editors:
Prof. Shangtong Yang (University of Strathclyde, UK / China University of Mining and Technology, China)
shangtong.yang@strath.ac.uk; shangtong.yang@cumt.edu.cn
Prof. Pengfei Shan (Xi’an University of Science and Technology, China)
shanpengfei@xust.edu.cn
Assoc. Prof. Lianpeng Dai (Liaoning University, China)
dai_lianpeng1992@163.com
Research on the dynamic disaster theory of coal-rock, as well as intelligent prevention and control technologies, plays a pivotal role in ensuring the safe and efficient development of deep energy resources.
The research topics of dynamic disaster theory and intelligent prevention and control technology include:
- Impact ground pressure, coal and gas outbursts, and mining induced earthquakes in mining engineering;
- Blasting excavation, rock burst, and vibration chain disasters in tunnel engineering;
- Multi field and multi-phase coupled dynamic disasters in underground storage facilities;
- Induced earthquakes during energy extraction processes;
- Natural earthquakes and fault mechanics.
A comprehensive understanding of the physical and mechanical behavior of coal and rock masses under dynamic forces, coupled with research into intelligent prevention and control technologies, is crucial for ensuring the safety, efficiency, and sustainability of deep energy development.
Topics of Interest
We welcome submissions on (but not limited to) the following topics:
- Dynamic Response Behavior and Disaster Characteristics of Coal and Rock in Deep Mining Environments
Examining the dynamic response and disaster characteristics of coal and rock under high pressure and complex conditions in deep mining environments.
- Vibration Response and Stability Analysis of Deep Underground Space Structures
Analyzing the vibration response and stability of deep underground structures under dynamic loads to assess their safety and stability.
- Interdisciplinary Applications of Machine Learning in Coal and Rock Dynamics
Applying machine learning to enhance the prediction and risk assessment of coal and rock dynamics using data-driven models.
- Dynamic Disaster Theory for Deep Geological Storage and Disposal Sites
Investigating the dynamic behavior and disaster risks of rock masses in deep geological storage and disposal sites.
- Challenges and Solutions for Disaster Prevention and Mitigation in Deep Underground Space Development
Addressing disaster prevention and mitigation challenges in deep underground space development with effective technical solutions.
- Efficient Numerical Methods for Disaster Prevention and Mitigation in Deep Mining and Tunnel Engineering
Developing efficient numerical methods for disaster prediction and risk mitigation in deep mining and tunnel engineering.
- Applications of Intelligent Disaster Prevention and Control Technologies in Deep Energy Development Projects
Exploring the use of intelligent disaster prevention and control technologies to enhance safety and efficiency in deep energy development.
Submission and Participation
We sincerely invite scholars and professionals, both domestic and international, who are engaged in research on dynamic disaster theory and intelligent prevention and control technologies to submit their latest research articles, review papers, and case studies for consideration in this special issue.
Instructions for Authors
Manuscripts can be submitted via the journal website, and please do not forget to select the special issue ICT-Disaster 2025 when you select the article.

Submission Deadline: 30 November 2025
For more information about this special issue or enquiries regarding submission, please contact Assoc. Prof. Lianpeng Dai [dai_lianpeng1992@163.com].