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Damage evolution of red-bed soft rock: Progressive change from meso-texture to macro-deformation

  • Guangjun Cui (Institute of Estuarine and Coastal Research/Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, School of Ocean Engineering and Technology, Sun Yat-sen University) ;
  • Cuiying Zhou (Guangdong Engineering Research Centre for Major Infrastructure Safety, Sun Yat-sen University) ;
  • Zhen Liu (Guangdong Engineering Research Centre for Major Infrastructure Safety, Sun Yat-sen University) ;
  • Lihai Zhang (Department of Infrastructure Engineering, The University of Melbourne)
  • 투고 : 2022.09.24
  • 심사 : 2023.12.06
  • 발행 : 2024.01.25

초록

Many foundation projects are built on red-bed soft rocks, and the damage evolution of this kind of rocks affects the safety of these projects. At present, there is insufficient research on the damage evolution of red-bed soft rocks, especially the progressive process from mesoscopic texture change to macroscopic elastoplastic deformation. Therefore, based on the dual-porosity characteristics of pores and fissures in soft rock, we adopted a cellular automata model to simulate the propagation of these voids in soft rocks under an external load. Further, we established a macro-mesoscopic damage model of red-bed soft rocks, and its reliability was verified by tests. The results indicate that the relationship between the number and voids size conformed to a quartic polynomial, whereas the relationship between the damage variable and damage porosity conformed to a logistic curve. The damage porosity was affected by dual-porosity parameters such as the fractal dimension of pores and fissures. We verified the reliability of the model by comparing the test results with an established damage model. Our research results described the progressive process from mesoscopic texture change to macroscopic elastoplastic deformation and provided a theoretical basis for the damage evolution of these rocks.

키워드

과제정보

The research is supported by the National Natural Science Foundation of China (NSFC) (Grant Numbers: 42293354, 42293351, 42293355, 42277131, 41977230, 42293350).

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