A stochastic model considering heterogeneity and crack propagation in concrete

被引:30
作者
Zeng, Ming-Hui [1 ]
Wu, Zhi-Min [1 ]
Wang, Yan-Jie [1 ]
机构
[1] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Peoples R China
基金
中国国家自然科学基金;
关键词
Concrete; Heterogeneity; Crack propagation; Stochastic model; DAMAGE EVOLUTION; FRACTURE; STANDARD;
D O I
10.1016/j.conbuildmat.2020.119289
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The heterogeneity of concrete results in the uncertainties of its fracture properties which usually affect the actual load bearing capacity and reliability of concrete structures. However, in existing studies of the heterogeneity of concrete, little research has been reported that considers the randomness of crack initiation. The current study presents a stochastic model for predicting the crack growth process of concrete by introducing a mixed-mode I - II crack propagation criterion with initial fracture toughness. Some routine tests are conducted to determine the statistical parameters of the presented model. The effects of the heterogeneity of the concrete on the load versus crack mouth opening displacement (P-CMOD) curve, the fracture process zone (FPZ) length L-FPZ and the crack growth trajectory are studied. It is found that compared with the P-CMOD curve based on the homogeneous model, the predicted results based on the stochastic model show obviously discrete changes that reasonably display the discreteness of concrete, and this is more scientific and accurate for describing the actual performance of concrete. During the crack propagation, the heterogeneity of the concrete has little influence on L-FPZ before L-FPZ reaches a maximum, and thereafter L-FPZ is greatly affected by the heterogeneity of the concrete. In comparison with the crack growth trajectory predicted by the homogeneous model, the tortuous trajectories based on the stochastic model are more realistic and show reasonable agreement with the experimental observations obtained from the literature. Additionally, the envelope of these paths can be obtained. The analysis of the values of the predicted peak load P-max of the stochastic model statistically indicates that they follow the normal distribution, which can be used for the reliability analysis of concrete structures. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:16
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