Image-based learning and experimental verification of crack propagation in random multi-fractures rock-Reference-Cited by-同舟云学术

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Image-based learning and experimental verification of crack propagation in random multi-fractures rock

Published:2024-10 Issue: Volume:133 Page:104640
ISSN:0167-8442
Container-title:Theoretical and Applied Fracture Mechanics
language:en
Short-container-title:Theoretical and Applied Fracture Mechanics

Author:

Xia Jianqiang,Li Diyuan,Su Xing,Zhao Junjie,Liu Zida,Lyu Xinxin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference50 articles.

1. A digital image-based discrete fracture network model and its numerical investigation of direct shear tests;Wang;Rock Mech. Rock Eng.,2017

2. Shear strength model of joints based on Gaussian smoothing method and macro-micro roughness;Xie;Comput. Geotech.,2022

3. The modeling of crack propagation and coalescence in rocks under uniaxial compression using the novel conjugated bond-based peridynamics;Wang;Int. J. Mech. Sci.,2017

4. A novel criterion for yield shear displacement of rock discontinuities based on renormalization group theory;Xie;Eng. Geol.,2023

5. The influence of mixing degree between coarse and fine particles on the strength of offshore and coast foundations;Liu;Sustainability,2022

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