为了解决现有围岩分级方法确定围岩指标参数时不可避免带有主观性因素的问题,在总结各类围岩分级方法的基础上综合选取岩石单轴饱和抗压强度、岩石完整性系数、岩体体积节理数、地下水、岩石质量指标(RQD)、围岩弹性纵波速度共6个参数作为隧道围岩分级评价指标。运用熵权-可拓物元理论及熵权-云模型的数学解析方法对围岩进行分级,并采用建设中的赣州—深圳高铁龙南隧道设计与施工阶段的围岩分级结果验证其合理性与准确性。结果表明:运用熵权法来计算评价指标的权重系数,可以克服确定权重系数的主观性,避免人为干扰。这2种围岩分级方法是对隧道围岩分级的新探索,有利于围岩分级向智能化、信息化的方向发展。
Abstract
To overcome the subjectity in determining the index parameters of surrounding rock by existing classification methods, six parameters, namely, uniaxial saturated compressive strength, integrity coefficient, volumetric joint number, groundwater, quality index RQD, and elastic longitudinal wave velocity of surrounding rock, were selected as evaluation indexes. Surrounding rock classification was carried out by using entropy weight extension matter-element theory and entropy weight cloud model mathematical analysis method, respectively. The rationality and accuracy of the two methods were verified by the data of surrounding rock classification in the design and construction stage of Longnan tunnel of Ganzhou-Shenzhen high-speed railway. Results manifested that entropy weight method could overcome subjectivity and avoid human interference in calculating the weight coefficient of evaluation index. The present two methods of surrounding rock classification are conducive to the development of intelligent and information-based surrounding rock classification.
关键词
隧道工程 /
围岩分级 /
熵权法 /
可拓物元理论 /
云模型
Key words
tunnel egeineering /
classification of surrounding rock /
entropy method /
extension matter element theory /
cloud model
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