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Bayesian calibration of the constants of the k-epsilon turbulence model for a CFD model of street canyon flow

Guillas, S; Glover, N; Malki-Epshtein, L; (2014) Bayesian calibration of the constants of the k-epsilon turbulence model for a CFD model of street canyon flow. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING , 279 536 - 553. 10.1016/j.cma.2014.06.008. Green open access

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Abstract

In this paper we carry out a Bayesian calibration for uncertainty analysis in Computational Fluid Dynamics modelling of urban flows. Taking the case of airflow in a regular street canyon, and choosing turbulent kinetic energy (TKE) as our quantity of interest, we calibrate 3-D CFD simulations against wind tunnel observations. We focus our calibration on the model constants contained within the standard RANS kk–εε turbulence model and the uncertainties relating to these values. Thus we are able to narrow down the space of kk–εε model constants which provide the best match with experimental data and quantify the uncertainty relating to both the kk–εε model constants in the case of street canyon flow and the TKE outputs of the CFD simulation. Furthermore, we are able to construct a statistical emulator of the CFD model. Finally, we provide predictions of TKE based on the emulator and the estimated bias between model and observations, accompanied with uncertainties in these predictions.

Type: Article
Title: Bayesian calibration of the constants of the k-epsilon turbulence model for a CFD model of street canyon flow
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cma.2014.06.008
Publisher version: http://dx.doi.org/10.1016/j.cma.2014.06.008
Language: English
Additional information: Copyright 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/3.0/).
Keywords: Uncertainty quantification, Emulation, Computational fluid dynamics, Turbulence modelling, k-epsilon model
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1431827
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