|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Computational Methods and Experimental Approaches for Uncertainty Quantification and Propagation, Model Validation, and Stochastic Predictions
||Quantifying Material Variability and Uncertainty for Welded and Additively-manufactured Structures Using Multiscale A Posteriori Error-estimation Techniques
||Joseph Bishop, Judith Brown
|On-Site Speaker (Planned)
Two fundamental sources of error in macroscale solid-mechanics modeling are (1) the assumption of a separation-of-scales in homogenization theory and (2) the use of a macroscopic material model that represents, in an average sense, the complex processes occurring at the microscale. Macroscopic material models attempt to approximate the response of the material under complex loading conditions, and are typically in error when exercised outside of the calibration regime. These approximation errors may be particularly significant in welded regions of a structure and for additively manufactured (AM) structures. In order to quantify these approximation errors on macroscale quantities-of-interest, we adopt an a posteriori error-estimation framework. We demonstrate how this framework can be used in an uncertainty-quantification mode that considers microstructural variability in both grain morphology and texture. For an example, we will study the multiscale mechanical response of a 304L stainless steel tube manufactured using a selective laser melting AM process.