[01420] A stochastic solution to inverse problems in thermo-fluid problems
Session Time & Room : 4E (Aug.24, 17:40-19:20) @D401
Type : Contributed Talk
Abstract : Inverse problems find their applications in various thermo-fluid systems. The present work aims to develop a computational framework using fast Bayesian inference, which leads to forward uncertainty propagation in various thermo-fluid models and solves the corresponding inverse problems. The framework leverages the polynomial chaos expansions (PCEs) to generate a computationally efficient and statistically equivalent surrogate model of the computationally expensive forward model and dimensionality reduction based on Karhunen-Loeve (K-L) expansion.
