Virtual Model Validation of Complex Multiscale Systems: Applications to Nonlinear Elastostatics
- ICES
We propose a virtual statistical validation process as an aid to the design of experiments for the validation of phenomenological models of the behavior of material bodies, with focus on those cases in which knowledge of the fabrication process used to manufacture the body can provide information on the micro-molecular-scale properties underlying macroscale behavior. One example is given by models of elastomeric solids fabricated using polymerization processes. We describe a framework for model validation that involves Bayesian updates of parameters in statistical calibration and validation phases. The process enables the quanti cation of uncertainty in quantities of interest (QoIs) and the determination of model consistency using tools of statistical information theory. We assert that microscale information drawn from molecular models of the fabrication of the body provides a valuable source of prior information on parameters as well as a means for estimating model bias and designing virtual validation experiments to provide information gain over calibration posteriors.
- Research Organization:
- The University of Texas at Austin, Institute for Computational Engineering and Sciences
- Sponsoring Organization:
- USDOE; USDOE SC Office of Advanced Scientific Computing Research (SC-21)
- DOE Contract Number:
- FG02-05ER25701
- OSTI ID:
- 1091948
- Report Number(s):
- DOE ER 25701
- Journal Information:
- Computer Methods in Applied Mechanics and Engineering, Vol. 266; ISSN 0045-7825
- Country of Publication:
- United States
- Language:
- English
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