Predicting longitudinal strength of unidirectional composites using a discrete damage model and full-field FFT-based simulations

The tensile strength of unidirectional fiber-reinforced composites is influenced by stochastic fiber breakage and load redistribution. Existing strength models have limitations in predicting fiber break density, clustering, and failure. This study introduces a framework that combines full-field computations based on the fast Fourier transform with a discrete fiber-damage model, yielding a voxelized 3D microstructure in which fibers are grouped into breakage-susceptible blocks according to a Weib