Prediction and classification of strain mode rockburst based on five-factor criterion and combined weight-ideal point method

XU Chen; LIU Xiao-li; WANG En-zhi; WANG Si-jing

doi:10.11779/CJGE201712013

Volume 39 Issue 12

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Chinese Journal of Geotechnical Engineering > 2017 > 39(12): 2245-2252. > DOI: 10.11779/CJGE201712013

XU Chen, LIU Xiao-li, WANG En-zhi, WANG Si-jing. Prediction and classification of strain mode rockburst based on five-factor criterion and combined weight-ideal point method[J]. Chinese Journal of Geotechnical Engineering, 2017, 39(12): 2245-2252. DOI: 10.11779/CJGE201712013

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Prediction and classification of strain mode rockburst based on five-factor criterion and combined weight-ideal point method

1. State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China;
2. Sanjiangyuan Collaborative Innovation Center, Tsinghua University, Beijing 100084, China;
3. Institute of Geology and Geophysics of the Chinese Academy of Sciences, Beijing 100029, China

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Received Date: September 25, 2016
Published Date: December 24, 2017

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Abstract

Abstract

Based on the basic theory of ideal point method, considering the mechanism of rock burst, a model for predicting and classifying rockbursts is established. Five factors are selected as the evaluation indexes, including the ratio of the maximum main stress of the surrounding cave wall to uniaxial compressive strength of rock, the ratio of the maximum tangential stress of the surrounding cave wall to uniaxial compressive strength of rock, the ratio of compressive to tensile strength of rock, the elastic energy index of rock and the intactness index of rock mass. The weight coefficients of these evaluation indexes are determined by the AHP and information entropy theory. The statistics-related projects and the engineering case analyses show the feasibility and applicability of the proposed model. A computer evaluation interface for rockburst classification is developed based on the proposed model. This model and computer interface can be referred to for other similar engineering practice.
- ideal point method,
- rockburst,
- combination weight,
- AHP,
- entropy weight method

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Prediction and classification of strain mode rockburst based on five-factor criterion and combined weight-ideal point method

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