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徐琛, 刘晓丽, 王恩志, 王思敬. 基于组合权重-理想点法的应变型岩爆五因素预测分级[J]. 岩土工程学报, 2017, 39(12): 2245-2252. DOI: 10.11779/CJGE201712013
引用本文: 徐琛, 刘晓丽, 王恩志, 王思敬. 基于组合权重-理想点法的应变型岩爆五因素预测分级[J]. 岩土工程学报, 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
Citation: 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

基于组合权重-理想点法的应变型岩爆五因素预测分级

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

  • 摘要: 基于理想点法的基本理论,综合考虑了岩爆发生机理,选取围岩洞壁最大主应力与岩石单轴抗压强度的比值、围岩洞壁最大切向应力与岩石单轴抗压强度的比值、岩石单轴抗压强度与岩石单轴抗拉强度比值、岩石弹性能指数以及岩体完整性系数作为评判预测指标,通过层次分析法和熵权理论计算主客观权重,综合确定各个指标的权重系数,构建了应变型岩爆组合权重-理想点法预测分析模型。通过统计相关工程案例,利用模型进行工程实例分析,验证了该模型的可行性与适用性。基于岩爆预测分级模型,开发了相应程序,可以为类似工程岩爆预测与等级划分提供重要支撑。

     

    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.

     

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