Modification of rock mass strength assessment methods and their application in geotechnical engineering

Modification of rock mass strength assessment methods and their application in geotechnical engineering
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DOI:
10.1007/s10064-016-0952-9
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发表时间:
2017-11
影响因子:
4.2
通讯作者:
D. Lin;Kaiyang Wang;Kun Li;Wantong He;Weixing Bao;R. Yuan;Y. Shang
D. Lin;Kaiyang Wang;Kun Li;Wantong He;Weixing Bao;R. Yuan;Y. Shang
中科院分区:
工程技术3区
文献类型:
--
作者:
D. Lin;Kaiyang Wang;Kun Li;Wantong He;Weixing Bao;R. Yuan;Y. Shang

文献摘要

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由于围岩结构复杂、结构不连续,现有的经验破坏准则已不能满足隧道等工程实践的要求。为了提高对含节理岩体强度的估计精度,采用Hoek-Brown准则对修正的地质强度指数图版进行了进一步的测试以估计岩体强度[Lin et al.(2014)Bull Eng Geol Environ 4(73):1245-1258]的基础上,基于我国工程获得的大量数据,对新的节理岩体强度估算公式进行了修正。本文首先对标准钻进时间进行了介绍和描述,然后将其作为岩石强度估算的参数。采用基于节理密度、岩体分类、Hoek-Brown准则和弹性波速的不同经验公式,以九堡隧道为例进行了岩体强度估算。根据不同经验公式估算的结果基本一致,说明本文提出的修正后的估算方法在一定条件下可以用于估算岩体强度。不同经验方法的相互关联为预测的岩体强度计算提供了极大的可信度。
Due to complicated structures and discontinuities in surrounding rock mass, existing empirical failure criteria cannot meet the requirements of engineering practice such as tunnels. To improve estimation accuracy on the strength of rock mass with joints, a modified chart of the Geological Strength Index using Hoek–Brown criteria was further tested to estimate rock mass strength [Lin et al. (2014) Bull Eng Geol Environ 4(73):1245–1258], and, in this paper, new strength estimation equations for jointed rock mass were then modified based on a large dataset obtained from Chinese projects. Here, standard drilling time is first introduced and described in this study, and then used as a parameter to estimate rock strength. Different empirical formulas based on joint density, rock mass classification, Hoek–Brown criteria, and elastic wave velocity are thus used to estimate rock mass strength by using data from the Jiubao tunnel. The results estimated based on different empirical formulas were similar, indicating that the modified assessment method presented in this paper can be used to estimate rock mass strength under certain circumstances. Cross-correlation of different empirical methods provides significant confidence in predicted rock mass strength calculations.