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Probabilistic quantification of geological strength index considering joint morphology and strength parameters.

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Title: Probabilistic quantification of geological strength index considering joint morphology and strength parameters.
Authors: Liu, Jian1 (AUTHOR), Jiang, Quan1 (AUTHOR) qjiang@whrsm.ac.cn, Song, Zebin1,2 (AUTHOR), He, Benguo3 (AUTHOR), Xu, Dingping1 (AUTHOR)
Source: Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards. Mar2026, Vol. 20 Issue 1, p337-360. 24p.
Subjects: Bayesian analysis, Rock mechanics, Optical scanners, Rock properties
Abstract: Accurate assessment of rock mass strength is crucial in rock mass engineering due to its significant impact on project safety and economic viability. Improper evaluation of rock mass parameters can lead to potential risks or costly inefficiencies. In this study, an attempt was made to integrate the Hoek-Brown criterion and Barton-Bandis criterion to describe the strength of rock mass with non-persistent joints using a new analysis model framework. Further, a new quantitative evaluation method for the geological strength index (GSI) was proposed based on joint persistence factor, joint roughness coefficient, and residual friction angle. Rock core samples containing representative joints were selected from boreholes at the Yingliangbao Hydropower Station. The surfaces of these joints were then subjected to 3D laser scanning, and embedded into cubic cement molds for direct shear testing. Then, GSI values at different parts of the main powerhouse were obtained, with a mean of 62.3 and a standard deviation of 10.99. Furthermore, a Bayesian framework was employed to quantify the uncertainty of the proposed GSI model. By incorporating in-situ data, the analysis yields a posterior probability distribution for the GSI value, providing a more realistic assessment of rock mass quality. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Accurate assessment of rock mass strength is crucial in rock mass engineering due to its significant impact on project safety and economic viability. Improper evaluation of rock mass parameters can lead to potential risks or costly inefficiencies. In this study, an attempt was made to integrate the Hoek-Brown criterion and Barton-Bandis criterion to describe the strength of rock mass with non-persistent joints using a new analysis model framework. Further, a new quantitative evaluation method for the geological strength index (GSI) was proposed based on joint persistence factor, joint roughness coefficient, and residual friction angle. Rock core samples containing representative joints were selected from boreholes at the Yingliangbao Hydropower Station. The surfaces of these joints were then subjected to 3D laser scanning, and embedded into cubic cement molds for direct shear testing. Then, GSI values at different parts of the main powerhouse were obtained, with a mean of 62.3 and a standard deviation of 10.99. Furthermore, a Bayesian framework was employed to quantify the uncertainty of the proposed GSI model. By incorporating in-situ data, the analysis yields a posterior probability distribution for the GSI value, providing a more realistic assessment of rock mass quality. [ABSTRACT FROM AUTHOR]
ISSN:17499518
DOI:10.1080/17499518.2025.2591758