项目名称: 基于全域搜索的结构面粗糙度系数尺寸效应取样代表性研究
项目编号: No.41502300
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 地质学
项目作者: 雍睿
作者单位: 绍兴文理学院
项目金额: 23万元
中文摘要: 结构面粗糙度系数尺寸效应是岩石力学研究的热点问题,系列尺度结构面粗糙度系数的取样代表性是客观研究结构面粗糙度系数尺寸效应规律的关键科学问题。本项目在粗糙度系数定向测量方法的基础上,提出基于计算机辅助技术的结构面粗糙度系数全域搜索取样方法;通过构建结构面粗糙度系数尺寸效应概率密度函数模型,开发结构面粗糙度取样代表性定量评价技术;基于结构面粗糙度系数非均一性与各向异性评价技术,提出结构面粗糙度系数表征单元确定方法;借助系列尺度结构面抗剪强度直剪试验与数值模拟试验,检验并完善基于全域搜索的结构面粗糙度系数尺寸效应取样代表性方法。克服传统测量统计方法人为取样的随意性,解决结构面粗糙度系数尺寸效应取样的唯一性问题,保证测量结果的可重复性,为客观研究结构面粗糙度系数尺寸效应基本规律和评价工程岩体结构面力学参数提供有效手段,具有重要的科学研究价值和广阔的工程应用前景。
中文关键词: 岩体结构面;粗糙度系数;尺寸效应;试样代表性;全域搜索
英文摘要: The scale effect of rock joint roughness coefficient (JRC) is the hot research problem of rock mechanics. The sampling representativeness of JRC with variable size is the key scientific issue of objective research on scale effect rules of JRC. Based on JRC orientation measurement, the global automatic searching method is presented by the computer aided technology. The quantitatively evaluation technology on sampling representativeness of JRC is developed by constructing the probability density function model of JRC considering scale effect. The method of determining the representation element of JRC is proposed by the evaluating method on anisotropism, anisotropy of rock joints. The global automatic searching method on scale effect sampling representativeness of rock joint roughness coefficient is subjected to test and perfection by direct shear test and numerical simulation. To get rid of the carelessness of artificial sampling in traditional measurement, the unique problem of scale effect samples of JRC is solved by this method, which can provide repeatable and reliable experiment results. It provides an effective method for getting the general rule of the scale effect of JRC and measuring the mechanical parameter of engineering rock joints. It is appreciated highly in its scientific value and vast application prospect.
英文关键词: rock mass discontinuities;JRC;scale effect;sampling representativeness;global search