岩体结构面产状随机分布空间表征  

Stochastic Spatial Characterization of Structural Plane Occurrence in Rockmass

作　　者：王述红[1] 张紫杉 王存根[1] 张峰春[1] 

机构地区：[1]东北大学资源与土木工程学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2017年第1期121-125,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(51474050;51179031);地质灾害防治与地质环境保护国家重点实验室项目(SKLGP2014K011);辽宁省高等学校优秀人才支持计划项目(LN2014006);沈阳市科技计划项目(F13-179-9-00)

摘　　要：基于不同的结构面产状概率分布函数对工程岩体的结构面进行模拟.通过运用内聚理论对结构面进行组别划分,并分别采用双平均密度分布、双正态密度分布、Fisher分布三种不同的分布形式,结合分布参数的反演,进行随机性结构面模拟.引入辽宁省某边坡工程的计算,运用自主研发的Geo SMA-3D(geotechnical structure and model analysis-3D)系统进行关键块体搜索,提出离散性评价参数,分析基于不同结构面产状概率分布计算得到关键块体体积的差异.研究发现当离散性评价参数大于临界值时,生成的关键块体体积随离散性评价参数的减小而增大.Based on different probability distribution functions,a stochastic planes simulation is applied in engineering rockmass. Three different probability distribution density functions： dual average density distribution,dual normal distribution and Fisher distribution are used to generate the stochastic structural planes. Meanwhile,a back analysis method is applied to acquire the distribution parameters based on spatial attitude. By inputting the data of deterministic structral planes and stochastic structural plane of a rock slope project in Liaoning Province,the slope modeling can be built and the key blocks can be identified by Geo SMA-3D（ geotechnical structure and model analysis-3D）. Then a discreteness index is put forward to evaluate the effectiveness and difference of different stochastic structural plane simulations. The results showthat key blocks＇ volume will increase when the discreteness index becomes smaller within a certain range.

关 键 词：随机性结构面 双正态分布 Fisher分布 赤平投影 离散性 

分 类 号：TU45[建筑科学—岩土工程]