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Open Access

Prediction of Rockburst Intensity Level Based on Comprehensive Weighting-Set Pair Analysis

Xiong Yin1,2, Qifeng Guo1,2( ), Minghua Fang1,2, Ying Zhang1,2, Jingxuan Yan1,2
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
Key Laboratory of High Efficient Mining and Safety of Metal Mines (Ministry of Education), University of Science and Technology Beijing, Beijing 100083, P. R. China
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Abstract

In response to the unreasonable preference coefficients of different weighting methods in the comprehensive weighting method and the problem of misjudgment in the maximum membership criterion, the rock brittleness coefficient σc/σt, rock mass stress characteristic coefficient σθ/σt, elastic energy index Wet, and rock integrity coefficient Kv are comprehensively selected as prediction indicators. By introducing a distance function to determine the preference coefficient of the improved Analytic Hierarchy Process and the Coefficient of Variation method, and combining the indicator set to obtain the comprehensive connectivity function. Finally, the maximum membership principle and confidence criterion are used for the comprehensive evaluation of rockburst intensity levels, and an improved rockburst intensity level prediction model based on comprehensive weighting and set pair analysis is established. Through the verification of 17 typical rockburst cases at home and abroad and actual engineering cases, it is shown that the proposed model has high accuracy and good practical application effects, which has certain engineering guidance significance.

CLC number: TU45 Document code: A Article ID: 1673-0836(2025)05-1784-09

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Chinese Journal of Underground Space and Engineering
Pages 1784-1792

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Cite this article:
Yin X, Guo Q, Fang M, et al. Prediction of Rockburst Intensity Level Based on Comprehensive Weighting-Set Pair Analysis. Chinese Journal of Underground Space and Engineering, 2025, 21(5): 1784-1792. https://doi.org/10.20174/j.JUSE.2025.05.34

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Received: 09 November 2024
Published: 01 October 2025
© 2025 Chinese Journal of Underground Space and Engineering

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).