Development and validation of an adaptive, scale invariant materials model, based on microstructural information that will efficiently account for the material and mechanical behaviors inherent in composites, is proposed. Our approach involves: (a) Introduction of an adaptive hierarchical and multi-scale computational model, incorporating image analysis to correlate computational predictions; (b) Incorporation of architectural flexibility based on Unit Cell approach; (c) Utilization of Independent State Variables that bridge the micro-to-macro scales; and (d) Account of interfacial mechanisms through cohesive elements. The intellectual merit relies on the creation of an interdisciplinary program to tailor computational and fundamental material science, that will ultimately provide the underpinnings for understanding the mechanics of reinforced structures such as woven, bio, and nanocomposites. Broader Impact: In the area of basic research and education the innovative and comprehensive approach taken by this work will promote other research on composite materials aimed at developing a unified, scale invariant model for FRPCs. (B) In the area of industrial research, this program will affect a wide variety of industries where significant gains in microscopic characterization and macroscopic behavior is often stymied by lack of knowledge of micro effects and ignorance of how to bridge the scales.
