摘要
岩爆是一种多因素影响、形成机制复杂的地质灾害。以岩爆烈度分级评价为目标。收集37例既有岩爆灾害的地下工程的调查资料,结合已有岩爆理论,依据岩石力学性质、围岩应力条件、围岩结构条件3个方面对应提出15个岩爆影响因素评价指标。采用主观赋权(层次分析法)与客观赋权(熵权法)相结合的方式对各影响因素进行赋权,运用TOPSIS理论分析岩爆烈度与影响因素间的对应关系,使用理想解排序法得到岩爆烈度与理想解的距离,从而判别岩爆等级。对国内7个发生岩爆的水电站地下洞室进行岩爆烈度等级判断,结果表明:对岩爆烈度影响较大的因素为岩爆倾向性指数、能量储耗指数、Turchaninov准则,所占权重分别为0.192、0.129、0.132;TOPSIS模型评判多因素综合作用下岩爆烈度等级准确率可达85.7%。
Rock burst is a kind of geological disaster with multiple factors influencing and complicated forming mechanism. The aim of this paper was to evaluate rock burst intensity grading. It collected the investigation data of 37 cases of existing rock burst disasters in underground engineering. Combined with the existing rock burst theory, 15 rock burst influencing factors were summarized according to rock mechanics properties, surrounding rock stress conditions and surrounding rock structure conditions. The combination of subjective weighting（ analytic hierarchy process） and objective weighting（ entropy weight method） was used to weighteach influencing factors.TOPSIS theory was applied to analyze the corresponding relationship between rock burst intensity and influencing factors, and the distance between rock burst intensity and ideal solution was obtained by using ideal solution sequencing method, so as to judge the rock burst level. This paper determined the grade of rock burst intensity in underground caverns of 7 domestic hydropower stations with rock burst. It showed that, firstly, the factors that had a great influence on rock burst intensity were rock burst proneness index,energy storage index,Turchaninov criterion,with weights of 0. 192, 0. 129 and 0. 132, respectively. Secondly,TOPSIS model could evaluatethe accuracy of rock burst intensity level by 85. 7% under the action of multiple factors.
作者
董源
张引
习朝辉
DONG Yuan;ZHANG Yin;XI Chaohui(State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China)
出处
《人民珠江》
2018年第9期87-91,共5页
Pearl River
关键词
岩爆
层次分析法
熵权法
TOPSIS理论
理想解
rock burst
analytic hierarchy process
entropy weight method
TOPSIS model
ideal solution
