A novel method for failure probability prediction of plain weave composites considering loading randomness and dispersion of strength

• Published in: Engineering fracture mechanics 2024-12, Vol.312, p.110649, Article 110649
• Main Authors: Li, Bingyao, Li, Youming, Ge, Jingran, Wu, Jianguo, Wu, Zengwen, Liang, Jun
• Format: Article
• Language: English
• Subjects: Failure probability; Life prediction; Plain weave composites; Random loading; Vibration fatigue
• ISSN: 0013-7944
• DOI: 10.1016/j.engfracmech.2024.110649

•A combined model which can predict the residual strength curve under random fatigue loadings is proposed.•The proposed model can predict the residual strength probability density function under random fatigue loadings.•This probabilistic prediction method can effectively consider the loading randomness and the dispersion of composites strength. A new method based on combined residual stiffness-strength degradation is developed to predict the failure probability of plain weave composites subjected to random fatigue loadings. All the parameters presented in the proposed analytical model are characterized using the outcomes from quasi-static and constant amplitude fatigue testing. The evolution of residual strength is obtained based on combined residual stiffness-strength degradation model, which can greatly reduce the cost of the experiments. The Weibull distribution with two parameters is used to account for the dispersion of residual strength. Combing with randomness statistics of the fatigue loadings and the interference criterion of stress-strength, the fatigue failure behavior and failure probability are obtained. The narrow-band random vibration experiments were conducted to generate the random loadings and validate the predicted results. The approach proposed in this paper takes full advantage of residual stiffness or residual strength method and has better accuracy.