基础理论与实验研究

裂隙岩体表征单元体及尺寸效应研究进展

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  • 1.河北省交通规划设计院,河北 石家庄 050011;2.河北工业大学 土木工程学院,天津 300401; 3.中国地质大学 水资源与环境学院,北京 100083
王晓明,男,1984年生,博士,在站博士后,主要从事裂隙岩体及数值模拟方面的研究工作。

收稿日期: 2014-05-06

  网络出版日期: 2018-06-14

基金资助

国家自然科学基金资助项目(No. 41272387)。

Review of advances in investigation of representative elementary volume and scale effect of fractured rock masses

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  • 1. Hebei Provincial Communications Planning and Design Institute, Shijiazhuang, Hebei 050011, China; 2. School of Civil Engineering, Hebei University of Technology, Tianjin 300401, China; 3. School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China

Received date: 2014-05-06

  Online published: 2018-06-14

Supported by

Project supported by the National Natural Science Foundation of China (Grant No. 41272387).

摘要

裂隙岩体的表征单元体(REV)是岩体力学中的一个基础性概念,一直是学者们关注的焦点。结合近年来的研究成果,对裂隙岩体表征单元体最新研究进展进行全面、详细地介绍,从表征单元体研究角度与参数、研究方法以及量化方法 3个主要方面进行阐述。将探讨裂隙岩体表征单元体的角度归纳为结构面及块体几何参数、岩体力学参数和水力学参数3个方面;研究方法主要包括统计学方法、解析法和数值分析法,对这些方法的研究现状进行介绍;最后对量化岩体REV尺度的常用方法进行概括总结,包括直观判断、误差及变异系数判别法、假设检验、曲线拟合法和灰关联分析。为相关研究提供一定的参考和指导。

本文引用格式

王晓明 ,郑银河, . 裂隙岩体表征单元体及尺寸效应研究进展[J]. 岩土力学, 2015 , 36(12) : 3456 -3464 . DOI: 10.16285/j.rsm.2015.12.016

Abstract

Since the concept of representative elementary volume (REV) of fractured rock masses is fundamental and significant in rock mechanics, it is worth studying by researchers. This paper critically reviews the latest research achievements in the field of REV of fractured rock masses. Three main aspects are discussed, which are research viewpoints and its relevant parameters, research approaches and quantitative methods. Firstly, from the point view of studying REV, the geometrical parameters of discontinuities and rock blocks, the mechanical and hydraulic parameters of rock masses are investigated in detail. Secondly, the applied conditions, merits and drawbacks of research approaches are briefly introduced, including statistical, analytical and numerical methods. Finally, the quantitative methods for determination of REV, i.e., intuitive judgment, error and coefficient of variation prediction, hypothesis tests, curve fitting and grey correlation analysis, are summarized. This paper provides reference and guidance for relevant studies.
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