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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium Computational Methods for Uncertainty Quantification, Model Validation, and Stochastic Predictions
Presentation Title Uncertainty Propagation in a Computational Fatigue Model of an Airframe Structure
Author(s) Animesh Dey, Robert Tryon, Jeremy Holmes, Robert McDaniels
On-Site Speaker (Planned) Animesh Dey
Abstract Scope 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.
Proceedings Inclusion? Planned: A print-only volume


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Materials and Data Development for Airframes
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Probabilistic Homogenization of Crystal Plasticity Modeling for Ti Alloys
Quality Control: Has Your DFT Code Been Δ-approved?
Quantifying Model-Form Uncertainty in Molecular Dynamics Simulation
Searching Transition States under Model-Form Uncertainty in Density Functional Theory Simulation
Uncertainty Propagation in a Computational Fatigue Model of an Airframe Structure
Uncertainty Quantification Algorithms for Large-scale Systems
Uncertainty Quantification and Propagation for Validation of a Microstructure Sensitive Model for Prediction of Fatigue Crack Initiation
Understanding the Effect of Experimental Uncertainty on the Multistage Fatigue Model
Using Correlations between Materials Properties in Potential Development Procedure for Metals

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