Adaptive sampling assisted surrogate modeling of initial failure envelopes of composite structures

Metamodel-Based Uncertainty Quantification for the Mechanical Behavior of Braided Composites

“…Material and geometric nonlinearities were taken into account in (Liu and Wu, 2019) for multiscale modeling with deep ANN. Moreover, a novel ANN-based failure criterion for yarns able to be integrated in progressive failure modeling of textiles was developed in (Liu et al, 2019), while adaptive sampling and Kriging were used for the first-ply failure envelope prediction in (Tian and Yu, 2021). Applications of classification for cracking detection and clustering for automated inspection of yarn deformations can be found in (Mardanshahi et al, 2020) and (Mendoza et al, 2019), respectively.…”