基于熵权正态云模型的软岩等级评价
发布时间：2018-11-01 17:09
【摘要】：软岩是地下工程施工中常见的复杂地质情况之一,科学准确的对其分类是进行安全施工的重要前提。针对软岩环境的复杂性和不确定性,选取单轴抗压强度σ_c、完整性系数K_v、黏聚力σ_n、软化系数K_f和软化指数?_s 5项定量化指标建立软岩评价指标体系,采用熵权法确定各指标权重,结合云理论建立熵权 正态云模型,对软岩的类型进行分级评价。以4组软岩工程实例对所建立模型进行检验,并与未确知度法、模糊评价法和BQ法的判别结果进行对比。研究结果表明,熵权 正态云模型在软岩等级判别中具有良好的实用性和可靠性,可为软岩类型预测提供一种新思路。
[Abstract]:Soft rock is one of the common complex geological conditions in underground engineering construction. Scientific and accurate classification of soft rock is an important prerequisite for safe construction. In view of the complexity and uncertainty of soft rock environment, five quantitative indexes of uniaxial compressive strength 蟽 _ c, integrity coefficient K _ v, cohesion 蟽 _ n, softening coefficient K _ f and softening index? _ s are selected to establish a soft rock evaluation index system. The entropy weight method is used to determine the weight of each index, and the entropy weight normal cloud model is established in combination with cloud theory, and the types of soft rock are classified and evaluated. Four groups of soft rock engineering examples are used to test the established model, and the results are compared with those of unascertained degree method, fuzzy evaluation method and BQ method. The results show that the entropy weight normal cloud model has good practicability and reliability in the classification of soft rock and can provide a new idea for the prediction of soft rock type.
【作者单位】： 中南大学资源与安全工程学院;
【基金】：国家自然科学基金项目(51274251)~~
【分类号】：TD315
，
本文编号：2304557
[Abstract]:Soft rock is one of the common complex geological conditions in underground engineering construction. Scientific and accurate classification of soft rock is an important prerequisite for safe construction. In view of the complexity and uncertainty of soft rock environment, five quantitative indexes of uniaxial compressive strength 蟽 _ c, integrity coefficient K _ v, cohesion 蟽 _ n, softening coefficient K _ f and softening index? _ s are selected to establish a soft rock evaluation index system. The entropy weight method is used to determine the weight of each index, and the entropy weight normal cloud model is established in combination with cloud theory, and the types of soft rock are classified and evaluated. Four groups of soft rock engineering examples are used to test the established model, and the results are compared with those of unascertained degree method, fuzzy evaluation method and BQ method. The results show that the entropy weight normal cloud model has good practicability and reliability in the classification of soft rock and can provide a new idea for the prediction of soft rock type.
【作者单位】： 中南大学资源与安全工程学院;
【基金】：国家自然科学基金项目(51274251)~~
【分类号】：TD315
，
本文编号：2304557
本文链接：https://www.wllwen.com/kejilunwen/kuangye/2304557.html
