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20152020
most citedA Physics Informed Machine Learning Approach for Reconstructing Reynolds Stress Modeling Discrepancies Based on DNS Data

632 citations · 2.8k across the 17 of their papers we have counts for

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Showing 2015 · physics.flu-dynShow all

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physics.flu-dyn2015★ 10 cited

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…

physics.flu-dyn2015★ 58 cited

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…