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一种基于现场点荷载强度评估岩体损伤指标的新方法。

A new method for evaluating the rock mass damage index based on the field point load strength.

作者信息

Wen Lei, Luo Zhou Quan, Yang Shi Jiao, Qin Ya Guang, Ma Shao Wei, Jiang Hong

机构信息

School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, People's Republic of China.

School of Nuclear Resources Engineering, University of South China, Hengyang 421001, People's Republic of China.

出版信息

R Soc Open Sci. 2019 Mar 6;6(3):181591. doi: 10.1098/rsos.181591. eCollection 2019 Mar.

DOI:10.1098/rsos.181591
PMID:31032017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6458395/
Abstract

The damage index is a crucial controlling parameter for rock mass strength and deformation in civil, geological and mining engineering projects. In this study, a new method was proposed for computing the damage index of a rock mass based on the field point load strength. This method provides a strength ratio whose numerator is the point load strength (PLS) of splitting along the pre-existing joint and whose denominator is the PLS of intact rock failure. To validate this method, the authors derived a relationship between the damage index and the integrality coefficient using an empirical relation. Moreover, numerous experimental tests were conducted, including P-wave testing and on-site point load testing. Finally, linear regression analysis was performed to analyse the correlation between the new damage index and the integrality coefficient . This study demonstrates that the presented new method is sensitive to both plasticity and damage in estimating the damage degree of rock masses in underground excavation and tunnel engineering.

摘要

损伤指数是土木、地质和采矿工程项目中岩体强度和变形的关键控制参数。在本研究中,提出了一种基于现场点荷载强度计算岩体损伤指数的新方法。该方法提供了一个强度比,其分子是沿既有节理劈裂的点荷载强度(PLS),分母是完整岩石破坏的PLS。为验证该方法,作者利用经验关系推导了损伤指数与完整性系数之间的关系。此外,还进行了大量实验测试,包括纵波测试和现场点荷载测试。最后,进行线性回归分析以分析新损伤指数与完整性系数之间的相关性。本研究表明,所提出的新方法在估计地下开挖和隧道工程中岩体的损伤程度时,对塑性和损伤都很敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/6ace6b36361c/rsos181591-g9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/a705086c6ed7/rsos181591-g1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/18d04ce46169/rsos181591-g7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/1e4c3d0e9b0d/rsos181591-g8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/6ace6b36361c/rsos181591-g9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/a705086c6ed7/rsos181591-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/1409c4393bee/rsos181591-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/8c313ba164a3/rsos181591-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/436eddca82d2/rsos181591-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/691b7af000dd/rsos181591-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/ffddfe0afdce/rsos181591-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/18d04ce46169/rsos181591-g7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/1e4c3d0e9b0d/rsos181591-g8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c93/6458395/6ace6b36361c/rsos181591-g9.jpg

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