Computationally efficient multiscale modeling for probabilistic analysis of CFRP composites with micro-scale spatial randomness

Abstract

The physics of spatial material randomness in CFRP composites is incorporated in a concurrent multiscale modeling framework. A sampling based non-intrusive approach is adopted to demonstrate natural variability in the material. The key outcome is the computational efficiency achieved by the proposed numerical model. Improvement in computational cost is achieved by the strategic use of parallel computing tools. Multi-directional fiber composite laminates are numerically modeled to predict progressive damage. The accuracy of the framework is demonstrated by comparing with experimental results of unnotched and open-hole quasi-isotropic laminates.