摘要
针对岩爆倾向性评价模型中指标权重难以确定导致预测精度不高的问题,提出1种基于改进组合赋权-TOPSIS法的岩爆倾向预测模型。综合考虑岩爆发生条件,选取岩性条件、应力条件和围岩条件3项准则对应的15个岩爆倾向性判别指标。采用3标度法的改进层次分析法(IAHP)与熵权法(EWM)结合,消除主、客观因素影响获得最优权重,运用逼近理想解法(TOPSIS)分析评判对象与虚拟理想解的贴近程度,从而判断岩爆倾向性等级。研究结果表明:弹性能量指数Wet、动态DT参数、能量储耗指数k、T准侧和应力指数S对岩爆倾向性影响较大;该模型对岩爆倾向性预测准确率高于85%,可为类似地下岩土工程岩爆倾向性预测提供理论支撑。
Aiming at the problem that the weights of indexes are difficult to be determined in the evaluation model of rock burst tendency,which causes the poor prediction accuracy,a prediction model of rock burst tendency based on the improved combination weighting-TOPSIS method was proposed.Considering the occurrence conditions of rock burst comprehensively,15 judgment indexes of rock burst tendency corresponding to three criteria of lithology,stress and surrounding rock conditions were selected.The improved analytic hierarchy process(IAHP)with three-scale method and the entropy weight method(EWM)were combined to eliminate the influence of subjective and objective factors and obtain the optimal weight.The technique for order preference by similarity to ideal solution(TOPSIS)was used to analyze the closeness between the judgment object and the virtual ideal solution,so as to judge the grade of rock burst tendency.The results showed that the elastic energy index Wet,dynamic DT parameters,energy storage and consumption index k,T quasi-lateral and stress index S had great influence on the rock burst tendency,and the prediction accuracy of rock burst tendency by this model was higher than 85%,which can provide theoretical support for the prediction of rock burst tendency in the similar underground geotechnical engineering.
作者
李明亮
李克钢
秦庆词
王庭
张雪娅
刘洋
LI Mingliang;LI Kegang;QIN Qingci;WANG Ting;ZHANG Xueya;LIU Yang(School of Land and Resources Engineering,Kunming University of Science and Technology,Kunming Yunnan 650093,China;Yunnan Key Laboratory of Sino-German Blue Mining and Utilization of Special Underground Space,Kunming Yunnan 650093,China)
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2020年第3期74-80,共7页
Journal of Safety Science and Technology
基金
国家自然科学基金项目(41672303)。
关键词
岩爆倾向性预测
组合赋权
最优权重
TOPSIS法
贴近度
prediction of rock burst tendency
combination weighting
optimal weight
TOPSIS method
closeness
