|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Computational Methods and Experimental Approaches for Uncertainty Quantification and Propagation, Model Validation, and Stochastic Predictions
||A Novel Method of Analyzing Constitutive Model Parameters Using Canonical Correlation Analysis
||Sudipto Mandal, Anthony Rollett
|On-Site Speaker (Planned)
Successful modeling of a material’s deformation behavior is dependent on the development of realistic constitutive models. In-depth knowledge about the parameters in a constitutive model will lead to a better understanding of the relationship between flow stress and deformation conditions and will eventually aid in better design of the deformation process. Curve-fitting is generally employed to train constitutive models using experimental data. However, relative impact of constitutive model parameters on the mechanical response for different models has not been explored much. In this study, both local and global sensitivity analysis methods are used. Canonical correlation analysis (CCA) has been used to understand the effect of constitutive model parameters on the flow stress behavior of titanium alloys. The limitations of local sensitivity methods have been highlighted and it has been shown that CCA provides a measure of both individual variable’s contribution and the effectiveness of the parameter set as a whole.