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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium Computational Methods for Uncertainty Quantification, Model Validation, and Stochastic Predictions
Presentation Title Materials and Data Development for Airframes
Author(s) Ryan J Glamm, Andrew H Baker, Erik D Sapper, James D Cotton
On-Site Speaker (Planned) Ryan J Glamm
Abstract Scope To enable the integrated computational modeling for airframe materials applications, the results must be adequately validated and assessed for uncertainty. This is especially true for safety critical components to be put into practice. However, even prior to design application, computational materials models can be applied to many other scenarios. If so, how good does the data need to be in each case? This talk will discuss the stages of airframe material development, data types, data stakeholders, and level of fidelity necessary at each stage. In addition, this talk will address what drives data requirements and how verification and validation efforts along with uncertainty quantification can expand integrated computational materials engineering in airframe materials development.
Proceedings Inclusion? Planned: A print-only volume


Accuracy of Kinetics in Coarse-Grained Molecular Dynamics
Advancements in Methods for Materials Discovery and Validation
Assessing the Accuracy of DFT Formation Energies
Atomistic Study of Carbon Nanotubes: Effect of Cut-off Distance
Bayesian Calibration of a Physical Model for Plastic Flow Behavior of TRIP Steels
Citrination: Open Infrastructure for Ingesting, Storing, and Mining Materials Data
Computational Simulation and Physical Validation of Welded Aluminum Structures
Data Analysis in Mesoscale Model of Ductile Damage
Database Optimization for Empirical Interatomic Potentials
Density-Functional Theory Energy Density Method: Extracting Information and Identifying Finite-size Errors
Density Functional Theory and Prediction of Energy Storage Materials Properties
Development of the ReaxFF Force Field for Complex Materials and Interfaces
Effect of K-point Convergence on Derived Properties for Pure Crystals
Elasticity Size Effects in ZnO Nanowires and Subjective Definitions of Cross-sectional Area: An Overlooked Source of Uncertainty
Evaluation of Phase-Field Models Through Stochastic Quantification of Microstructure and Data Analytics
Exploring the Effects of Micro-texture on Engineering-scale Performance
Functional Uncertainty Quantification for Multi-fidelity and Multi-scale Simulations
Grain Deformation in a Cast Ni Superalloy: Comparing Experimental and Modelling Results
How Important are the Smallest Grains on Grain Aggregate Mechanics?
Materials and Data Development for Airframes
Microstructure-Uncertainty Propagation in Sheet Metal Forming FE-Simulations
Multiscale Modeling of with Quantified Uncertainties and Cloud Computing: Towards Computational Materials Design
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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