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Incorporating Prior Knowledge for Quantifying and Reducing Model-Form Uncertainty in RANS Simulations
Jian-Xun Wang, Jin-Long Wu, Heng Xiao
Simulations based on Reynolds-Averaged Navier--Stokes (RANS) models have been used to support high-consequence decisions related to turbulent flows. Apart from the deterministic mo…
Inversion of Tsunamis Characteristics from Sediment Deposits Based on Ensemble Kalman Filtering
Jian-Xun Wang, Hui Tang, Heng Xiao +1
Sediment deposits are the only leftover records from paleo tsunami events. Therefore, inverse modeling method based on the information contained in the deposit is an indispensable…
A Bayesian Calibration-Prediction Method for Reducing Model-Form Uncertainties with Application in RANS Simulations
J. -L. Wu, J. -X. Wang, H. Xiao
Model-form uncertainties in complex mechanics systems are a major obstacle for predictive simulations. Reducing these uncertainties is critical for stake-holders to make risk-infor…
Quantifying and Reducing Model-Form Uncertainties in Reynolds-Averaged Navier-Stokes Simulations: A Data-Driven, Physics-Based Bayesian Approach
H. Xiao, J. -L. Wu, J. -X. Wang +2
Despite their well-known limitations, Reynolds-Averaged Navier-Stokes (RANS) models are still the workhorse tools for turbulent flow simulations in today's engineering application.…
Propagation of Input Uncertainty in Presence of Model-Form Uncertainty: A Multi-fidelity Approach for CFD Applications
Jian-xun Wang, Christopher J. Roy, Heng Xiao
Proper quantification and propagation of uncertainties in computational simulations are of critical importance. This issue is especially challenging for CFD applications. A particu…