水利水电技术2017，Vol.48Issue(2)：74-78,96,6.DOI:10.13928/j.cnki.wrahe.2017.02.013
基于二维正态分布的岩体抗剪强度参数取值范围确定
2-D normal distribution-based study on parameter selecting range for shear strength of rock mass
摘要
Abstract
Aiming at the defect of strong artificial randomness in the determination of the parameter of rock mass shear strength in the previous studies,the normal stress and shear stress in the direct shear test made on the same type of rock mass are statistically analyzed herein,and then the relevant joint-distribution fitting is studied,from which the probability distribution model for the joint-distribution of normal stress and shear stress is obtained.Under the condition of the given normal stress,both the upper limit and the lower limit of the shear stress can be got with the probability distribution model through various probability guarantee rates,thus the parameter selecting range for shear strength of rock mass can be obtained through the regression made in a set of different values of normal stress and shear stress.By taking the data got from the direct shear test made on the cemented interface between the altered basalt and concrete during the construction of Ertan Hydropower Station as the study case,the value selecting ranges off∈ (0.68,0.91) andc ∈ (0.25,i.78) for the parameter of the shear strength of the cemented interface between the concrete and the foundation rock are respectively obtained from the calculation made under the probability guarantee rate of 80％.Through the actual calculation case,it is indicated that the 2-D normal distribution-based method for the value selection of the rock shear strength parameter can provide a reference for the determination of rock shear strength in an actual construction project.关键词
抗剪强度参数/试验数据/概率分布/可靠度/二维正态分布/岩体/二滩水电站/混凝土Key words
shear strength parameter/test data/probability distribution/reliability/2-D normal distribution/rock mass/Ertan Hydropower Station/concrete分类
建筑与水利引用本文复制引用
王宇龙,赵宇飞,张宏涛,林兴超..基于二维正态分布的岩体抗剪强度参数取值范围确定[J].水利水电技术,2017,48(2):74-78,96,6.基金项目
国家自然科学基金青年项目(51409283) （51409283）
