Probability embedded failure prediction of unidirectional composites under biaxial loadings combining machine learning and micromechanical modelling
(2023)
Journal Article
Wan, L., Ullah, Z., Yang, D., & Falzon, B. G. (2023). Probability embedded failure prediction of unidirectional composites under biaxial loadings combining machine learning and micromechanical modelling. Composite Structures, 312, Article 116837. https://doi.org/10.1016/j.compstruct.2023.116837
This study presents a data-driven, probability embedded approach for the failure prediction of IM7/8552 unidirectional carbon fibre reinforced polymer (CFRP) composite materials under biaxial stress states based on micromechanical modelling and artif... Read More about Probability embedded failure prediction of unidirectional composites under biaxial loadings combining machine learning and micromechanical modelling.