Analysis and measurement of multi-factor coupling risk in underground coal mine gas explosion based on system dynamics

To investigate the evolutionary mechanism of coal mine gas explosion, and to improve the level of system safety. In this paper, a multi-factor coupled risk deduction model for coal mine gas explosion is constructed by using the system dynamics method. The two subsystems of 'human factors' and 'material factors' are simulated by using Vensim software. To obtain the evolutionary trend of system gas explosion risk and the risk change trend of index variables. The risk level of coal mine gas explosion is predicted by adjusting the parameters of the index variables, and the influence of various coupled factors on the development trend of the risk level is analyzed. Through the application of the model, the results reveal that the model has certain applicability and feasibility. The risk values of system variables have a certain degree of hysteresis and cumulativeness in their impact on other variables and the system risk level, and the 'emergence' and 'mutation' phenomena of accident evolution.

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Publication Details

Journal
Scientific Reports
Published
2025-11-26
DOI
https://doi.org/10.1038/s41598-025-26325-1
Citations
1
Primary Topic
Safety and Risk Management
Type
article
Field-Weighted Citation Impact
2.76

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article

Analysis and measurement of multi-factor coupling risk in underground coal mine gas explosion based on system dynamics

Lianhua Cheng, Huimin Guo, Yifan Chen, Shugang Li
1 citations
Scientific Reports
Safety and Risk Management
2.76
article

Analysis and measurement of multi-factor coupling risk in underground coal mine gas explosion based on system dynamics

Lianhua Cheng, Huimin Guo, Yifan Chen, Shugang Li
article en
1 citations

Abstract

To investigate the evolutionary mechanism of coal mine gas explosion, and to improve the level of system safety. In this paper, a multi-factor coupled risk deduction model for coal mine gas explosion is constructed by using the system dynamics method. The two subsystems of 'human factors' and 'material factors' are simulated by using Vensim software. To obtain the evolutionary trend of system gas explosion risk and the risk change trend of index variables. The risk level of coal mine gas explosion is predicted by adjusting the parameters of the index variables, and the influence of various coupled factors on the development trend of the risk level is analyzed. Through the application of the model, the results reveal that the model has certain applicability and feasibility. The risk values of system variables have a certain degree of hysteresis and cumulativeness in their impact on other variables and the system risk level, and the 'emergence' and 'mutation' phenomena of accident evolution.

Scientific ReportsVol. 15(1)
Xi'an University of Science and Technology (CN), Xi'an University of Technology (CN), Shaanxi University of Science and Technology (CN)
National Natural Science Foundation of China, Education Department of Shaanxi Province
Openalex Percentile: Top 7%
Safety and Risk Management
2.76
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Analysis and measurement of multi-factor coupling risk in underground coal mine gas explosion based on system dynamics — Lianhua Cheng, Huimin Guo, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS