MCML continues close collaboration with AFRL on multiscale modeling of composite structures
Title: Prediction of Damage Growth in Large-Scale Composite Structures
Research Team : MCML
Source of Support : Air Force Research Laboratory / University of Dayton Research Institute.
Synopsis:
The Air Force (AF) needs the capability to accurately predict damage growth in large-scale com- posite aircraft structures under realistic service loads and environmental conditions. The predictive methods must account for realistic and complex loading conditions. This program will perform fundamental research in advancing the predictive computational methods for response prediction of composites to support and complement the on-going in-house activities of the Air Force Research Laboratory (AFRL).
The objective of this project is to devise predictive computational approaches for composite aircraft structures. In particular, the promising progressive damage accumulation approach named eigendeformation-based reduced-order computational homogenization (EHM) method will be advanced. Significant computational and validation advancements will be performed to improve the predictive capability of these approaches for more complex structural geometries associated with realistic composite aircraft components and loads.