|About this Abstract
||2016 TMS Annual Meeting & Exhibition
||Computational Methods for Uncertainty Quantification, Model Validation, and Stochastic Predictions
||Uncertainty Propagation in a Computational Fatigue Model of an Airframe Structure
||Animesh Dey, Robert Tryon, Jeremy Holmes, Robert McDaniels
|On-Site Speaker (Planned)
VEXTEC is working with the Air Force Research Laboratory to develop multi-disciplinary Uncertainty Quantification, Uncertainty Management (UQ/UM) methods that capture the interaction between aerodynamics, structures and materials to predict risk of failure of an airframe component. This presentation will concentrate on a total fatigue life model of a forged aluminum 7075-T7351 airframe structural component to quantify and manage the uncertainty in loading, geometry and microstructural properties. A probabilistic computational fatigue damage accumulation model that addresses the multiple stages of crack initiation, short crack growth and large crack fracture mechanics is developed. The early damage stages are modeled using three dimensional stochastic representative volume elements created from the statistical distributions of grain size, particle size, particle shape, etc. UQ/UM of the microstructural fatigue model and the validation with experimental testing will be highlighted.
||Planned: A print-only volume