TOWARDS MODEL ORDER REDUCTION FOR UNCERTAINTY PROPAGATION IN BLAST-INDUCED TRAUMATIC BRAIN INJURY

摘要

The present work describes the initial steps of developing a computational framework aiming to facilitate uncertainty quantification and propagation in non-linear computational models capable of predicting the dynamic response of blast-impacted human head assemblies. This work is motivated by the need to address the effects that the variables participating in such events have with respect to the severity and type of traumatic brain injury. Since high dimensional models are computationally very expensive, we have decided to incorporate model hyperreduction to enable the solution of the problem using reasonable computational resources, for the purpose of sampling the uncertainty of the parameters associated with the physics of the problem. We present an application of the adopted method for a simplified head assembly under blast-induced shock conditions, and a comparison between the high dimensional and hyperreduced results.