Numerical simulation and risk assessment of high-level collapse fragmentation

The high-level collapse disaster is sudden and destructive, which poses a serious threat to human life, property and infrastructure. This paper systematically studies the fragmentation process and risk assessment of falling rocks at a high level, builds a scientific and reasonable simulation and assessment framework, and provides theoretical support for disaster prevention and control. An improved fractal fracture model based on fractal theory and discontinuous structural plane fracture method is proposed. Voronoi diagram is introduced to effectively simulate the rock collision and fragmentation behavior, along with fragment size and shape characteristics are generated under reality. Based on the results of numerical simulation, a quantitative risk assessment framework was constructed to comprehensively consider risk and vulnerability. Through investigation and analysis, the collapse susceptibility is determined, and the rockfall risk is quantitatively assessed by simulating the motion trajectory, energy attenuation, fragmentation and other motion processes of the collapsing block. Finally, the collapse risk is quantitatively assessed by combining the vulnerability of the disaster-bearing body. Comparing the simulation results with actual cases, the accuracy of the model and assessment framework is verified. The results show that the model can better reflect the fragmentation process, risk characteristics, provide a scientific basis for risk management and disaster reduction measures. In the future, the model parameters will be optimized, the applicability will be expanded, and the early warning capability will be improved with real-time monitoring data.

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Publication Details

Published
2025-09-03
DOI
https://doi.org/10.1190/nsgp2025-031.1
Primary Topic
Landslides and related hazards
Type
article
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article

Numerical simulation and risk assessment of high-level collapse fragmentation

Bingbing Zhang, Jian Huang, Zaid Ur Rehman Zaid
Landslides and related hazards
article

Numerical simulation and risk assessment of high-level collapse fragmentation

Bingbing Zhang, Jian Huang, Zaid Ur Rehman Zaid
article en

Abstract

The high-level collapse disaster is sudden and destructive, which poses a serious threat to human life, property and infrastructure. This paper systematically studies the fragmentation process and risk assessment of falling rocks at a high level, builds a scientific and reasonable simulation and assessment framework, and provides theoretical support for disaster prevention and control. An improved fractal fracture model based on fractal theory and discontinuous structural plane fracture method is proposed. Voronoi diagram is introduced to effectively simulate the rock collision and fragmentation behavior, along with fragment size and shape characteristics are generated under reality. Based on the results of numerical simulation, a quantitative risk assessment framework was constructed to comprehensively consider risk and vulnerability. Through investigation and analysis, the collapse susceptibility is determined, and the rockfall risk is quantitatively assessed by simulating the motion trajectory, energy attenuation, fragmentation and other motion processes of the collapsing block. Finally, the collapse risk is quantitatively assessed by combining the vulnerability of the disaster-bearing body. Comparing the simulation results with actual cases, the accuracy of the model and assessment framework is verified. The results show that the model can better reflect the fragmentation process, risk characteristics, provide a scientific basis for risk management and disaster reduction measures. In the future, the model parameters will be optimized, the applicability will be expanded, and the early warning capability will be improved with real-time monitoring data.

Chengdu University of Technology (CN)
Openalex Percentile: Top 67%
Landslides and related hazards
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Numerical simulation and risk assessment of high-level collapse fragmentation — Bingbing Zhang, Jian Huang, et al. · (2025) | TGRS Research Map | TGRS