文献类型：期刊文献

中文题名：基于旋转采样法的结构面粗糙度各向异性评价

英文题名：ANISOTROPY EVALUATION OF ROCK JOINT ROUGHNESS USING ROTATION SAMPLING METHOD

作者：吴禄祥[1];吕庆[1];蔡学桁[1];郑俊[1];李博[2];刘健[3]

机构：[1]浙江大学建筑工程学院,杭州310058;[2]绍兴文理学院土木工程学院,绍兴312000;[3]浙江公路水运工程咨询有限责任公司,杭州310006

年份：2021

卷号：29

期号：1

起止页码：52

中文期刊名：工程地质学报

外文期刊名：Journal of Engineering Geology

收录：CSTPCD、、CSCD2021_2022、北大核心、CSCD、北大核心2020

基金：国家自然科学基金(资助号:41772287,41972264);浙江省交通运输厅科技计划项目(资助号:2020060)。

语种：中文

中文关键词：结构面粗糙度;粗糙度系数;各向异性;评价方法;三维激光扫描;

外文关键词：Joint roughness;Joint roughness coefficient;Anisotropy;Evaluation method;3D laser scanning;

中文摘要：岩石结构面粗糙度各向异性评价存在不确定性。本文基于高精度激光扫描技术获得的结构面三维点云数据,提出了一种评价岩石结构面粗糙度系数(JRC)各向异性的旋转采样法。通过典型结构面试样的对比分析,探讨了采样方法和尺寸对JRC各向异性的影响。结果表明:(1)已有的单一轮廓线采样法获得的JRC各向异性数据离散,各向异性评价结果偏大,增加结构面尺寸,能提高数据的准确性。(2)采用旋转采样法获得的JRC各向异性数据,在不同尺寸下JRC最值分布更集中,各向异性系数计算结果更稳定,克服了JRC数据离散的问题,可获得准确、可靠的JRC各向异性规律。本文方法和结果可为研究岩石结构面粗糙度各向异性规律提供参考。

外文摘要：Uncertainty exists in evaluation for anisotropy of a rock joint roughness.One can obtain different anisotropy evaluation of rock joint roughness via different methods even for the same sample,which makes anisotropy evaluation results inconsistent.To this end,this paper proposed a rotation sampling method to evaluate the anisotropy of rock joint roughness coefficient(JRC).The method uses the 3 D point cloud data of a rock joint sample that obtained from high-precision 3 D laser scanning technology.Based on the comparison analysis of a typical rock joint sample,the influences of the sampling method and the sampling size on the anisotropy evaluation results of JRC were investigated.The results show that the existing single profile sampling method makes the JRC anisotropy data discrete and therefore requires larger sampling size to improve its accuracy of the obtained JRC data.The proposed rotation sampling method can overcome this problem of JRC anisotropy data dispersion and obtain accurate and reliable JRC data for anisotropy evaluation.The method and the results can provide a reference for further studying the anisotropy of rock joint roughness.