Shear-related roughness classification and strength model of natural rock joint based on fuzzy comprehensive evaluation
Publication type: Journal Article
Publication date: 2021-01-01
scimago Q1
wos Q1
SJR: 2.481
CiteScore: 14.3
Impact factor: 7.5
ISSN: 13651609, 18734545
Geotechnical Engineering and Engineering Geology
Abstract
This paper investigated shear-related roughness classification based on Fuzzy comprehensive evaluation, and established a new strength model of natural rock joint. The joint profiles were extracted from 3D data to evaluate roughness, and a series of direct shear tests were carried out on three kinds of natural rock joints. The height statistical parameters S m , S q , Ss and S k , and the textural statistical parameters S i , S c , and Z 2 were measured by Talysurf morphology instrument. Considering the existence of strong positive relations between S m and S q , and Z 2 and S i , the four morphological parameters of S i , S q , S c , and S k are considered as the main influencing factors related with rock joint shear behaviors. A new fracture roughness coefficient FRC is proposed based on fuzzy comprehensive evaluation (FCE), which considers that the influence of multi morphology parameters on the roughness of rock joint surface, and generally, the FRC is higher than the JRC. Compared with the previously published shear strength models, the proposed FRC-JCS shear strength model, which can more comprehensively reflect the influence of joint surface morphology parameters to shear strength, are in better agreement with the experimental data.
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Metrics
170
Total citations:
170
Citations from 2024:
38
(22.35%)
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Zhao Y. et al. Shear-related roughness classification and strength model of natural rock joint based on fuzzy comprehensive evaluation // International Journal of Rock Mechanics and Minings Sciences. 2021. Vol. 137. p. 104550.
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Zhao Y., Zhang C., Wang Y., Lin H. Shear-related roughness classification and strength model of natural rock joint based on fuzzy comprehensive evaluation // International Journal of Rock Mechanics and Minings Sciences. 2021. Vol. 137. p. 104550.
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TY - JOUR
DO - 10.1016/j.ijrmms.2020.104550
UR - https://doi.org/10.1016/j.ijrmms.2020.104550
TI - Shear-related roughness classification and strength model of natural rock joint based on fuzzy comprehensive evaluation
T2 - International Journal of Rock Mechanics and Minings Sciences
AU - Zhao, Yanlin
AU - Zhang, Chun-shun
AU - Wang, Yixian
AU - Lin, Hang
PY - 2021
DA - 2021/01/01
PB - Elsevier
SP - 104550
VL - 137
SN - 1365-1609
SN - 1873-4545
ER -
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BibTex (up to 50 authors)
Copy
@article{2021_Zhao,
author = {Yanlin Zhao and Chun-shun Zhang and Yixian Wang and Hang Lin},
title = {Shear-related roughness classification and strength model of natural rock joint based on fuzzy comprehensive evaluation},
journal = {International Journal of Rock Mechanics and Minings Sciences},
year = {2021},
volume = {137},
publisher = {Elsevier},
month = {jan},
url = {https://doi.org/10.1016/j.ijrmms.2020.104550},
pages = {104550},
doi = {10.1016/j.ijrmms.2020.104550}
}