Research on rockburst prediction with fuzzy comprehensive evaluations based on rough set

机译：基于粗糙集的模糊综合评价岩爆预测研究

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Being a familiar geological hazard in underground engineering, rockbursts greatly threaten the safety of personnel and equipment. A rockburst prediction method was proposed using fuzzy comprehensive evaluations based on rough sets. A method of determining weight coefficients based on the rough set theory is presented in this paper. Determining much weight coefficients was translated into estimating significance of attributes among rough sets. Based on the analysis of main causes of rockbursts, the compressive strength,tensile strength, the included angle of preferred structural planes, maximum principal stress, elastic energy index of rock, and the maximum tangential stress of the tunnel wall were chosen as the indexes. The decision table for rockburst prediction was established. By analyzing the significance of conditional attribute sets, the weight coefficient of fuzzy comprehensive evaluations model was determined. These weight coefficients are determined completely from data, which overcomes the subjectivity of experts. Finally, the model was applied to predict the rockbrust gradation of the Kuocangshan tunnel.

机译：作为地下工程中常见的地质灾害，岩爆极大地威胁着人员和设备的安全。提出了基于粗糙集的模糊综合评价方法的岩爆预测方法。提出了一种基于粗糙集理论的权重系数确定方法。确定很多权重系数可以转化为估计粗糙集之间属性的重要性。在分析岩爆成因的基础上，选择了抗压强度，抗拉强度，优选结构面的夹角，最大主应力，岩石的弹性能指数和隧道壁的最大切向应力作为指标。建立了岩爆预测决策表。通过分析条件属性集的重要性，确定了模糊综合评价模型的权重系数。这些权重系数完全由数据确定，这克服了专家的主观性。最后，该模型被用于预测仓苍山隧道的岩屑等级。

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来源
《Boundaries of Rock Mechanics: Recent Advances and Challenges for the 21st Century》|2008年|831-835|共5页
会议地点 Beijing(CN)
作者
WangLiming;
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D.H.Qiu@College of Construction Engineering,Jilin University,Changchu,China--J.P.Chen@College of Construction Engineering,Jilin University,Changchu,China--Q.Wang@College of Construction Engineering,Jilin University,Changchu,China--J.Zhang@College of Construction Engineering,Jilin University,Changchu,China--;

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正文语种 eng
中图分类岩石（岩体）力学及岩石测试;
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Research on rockburst prediction with fuzzy comprehensive evaluations based on rough set

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