Search Results - "Rezaeiravesh, S."

Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems by Morita, Y., Rezaeiravesh, S., Tabatabaei, N., Vinuesa, R., Fukagata, K., Schlatter, P.

“…Bayesian optimization (BO) based on Gaussian process regression (GPR) is applied to different CFD (computational fluid dynamics) problems which can be of…”
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Systematic study of accuracy of wall-modeled large eddy simulation using uncertainty quantification techniques by Rezaeiravesh, S., Mukha, T., Liefvendahl, M.

“…•Predictive accuracy and sensitivity of WMLES of channel flow to different factors are investigated.•Influential factors include wall model parameters, grid,…”
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A library for wall-modelled large-eddy simulation based on OpenFOAM technology by Mukha, T., Rezaeiravesh, S., Liefvendahl, M.

“…This work presents a feature-rich open-source library for wall-modelled large-eddy simulation (WMLES), which is a turbulence modelling approach that reduces…”
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In-situ estimation of time-averaging uncertainties in turbulent flow simulations by Rezaeiravesh, S., Gscheidle, C., Peplinski, A., Garcke, J., Schlatter, P.

“…The statistics obtained from turbulent flow simulations are generally uncertain due to finite time averaging. Most techniques available in the literature to…”
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An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics by Rezaeiravesh, S., Vinuesa, R., Schlatter, P.

“…Combining different existing uncertainty quantification (UQ) techniques, a framework is obtained to assess a set of metrics in computational physics problems,…”
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Assessment of uncertainties in hot-wire anemometry and oil-film interferometry measurements for wall-bounded turbulent flows by Rezaeiravesh, Saleh, Vinuesa, Ricardo, Liefvendahl, Mattias, Schlatter, Philipp

“…In this study, the sources of uncertainty of hot-wire anemometry (HWA) and oil-film interferometry (OFI) measurements are assessed. Both statistical and…”
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Applying Bayesian Optimization with Gaussian Process Regression to Computational Fluid Dynamics Problems by Morita, Y, Rezaeiravesh, S, Tabatabaei, N, Vinuesa, R, Fukagata, K, Schlatter, P

“…Bayesian optimization (BO) based on Gaussian process regression (GPR) is applied to different CFD (computational fluid dynamics) problems which can be of…”
Get full text