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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…
CFD-DEM Simulations of Current-Induced Dune Formation and Morphological Evolution
Rui Sun, Heng Xiao
Understanding the fundamental mechanisms of sediment transport, particularly those during the formation and evolution of bedforms, is of critical scientific importance and has engi…
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…