On the use of ensemble averaging techniques to accelerate the Uncertainty Quantification of CFD predictions in wind engineering
Visualitza/Obre
10.1016/j.jweia.2022.105105
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/371777
Tipus de documentArticle
Data publicació2022-09
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
Abstract
In this work we focus on reducing the wall clock time required to compute statistical estimators of highly chaotic incompressible flows on high performance computing systems. Our approach consists of replacing a single long-term simulation by an ensemble of multiple independent realizations, which are run in parallel. A failure probability convergence criteria must be satisfied by the statistical estimator of interest to assess convergence. The error analysis leads to the identification of two error contributions: the initialization bias and the statistical error. We propose an approach to systematically detect the burn-in time needed in order to minimize the initialization bias, as well as techniques to choose the effective time needed to keep the statistical error under control. This is accompanied by strategies to reduce simulation cost. The proposed method is assessed in application to the prediction of the drag force over high rise buildings and specifically in application to the CAARC building, a relevant benchmark for the wind engineering community.
CitacióTosi, R. [et al.]. On the use of ensemble averaging techniques to accelerate the Uncertainty Quantification of CFD predictions in wind engineering. "Journal of wind engineering and industrial aerodynamics", Setembre 2022, vol. 228, p. 105105:1-105105:19.
ISSN0167-6105
Versió de l'editorhttps://www.sciencedirect.com/science/article/pii/S0167610522002069
Col·leccions
- Departament de Física - Articles de revista [2.209]
- ANiComp - Anàlisi numèrica i computació científica - Articles de revista [108]
- Departament de Mecànica de Fluids - Articles de revista [438]
- Departament d'Enginyeria Civil i Ambiental - Articles de revista [3.026]
- ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems - Articles de revista [120]
- Doctorat en Enginyeria Civil - Articles de revista [168]
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
1-s2.0-S0167610522002069-main.pdf | Open Access print disponible a la web de l'editorial | 2,304Mb | Visualitza/Obre |