PERTURBATION OF THE INPUT DATA OF MODELS USED FOR THE PREDICTION OF TURBULENT AIR FLOW IN AN ENCLOSURE

Abstract

The aim of this article is to put forward an economical method for the determination of the uncertainty domain of the numerical results compared with a computational fluid dynamics (CFD) code due to data uncertainties

In the first part of the study, we compare two methods of determining the domain of uncertainty: the quasi-Monte Carlo (QMC) method, and the finite-differences differential analysis (FDDA) method. This comparison is based on the two-dimensional modeling of laminar airflow in natural convection, in a small, thermally driven enclosure. The FDDA method is shown to be much more economical, in terms of computing time, than the QMC method.

Additional information

Notes on contributors

P. Depecker

Address correspondence to Professor P. Depecker, CETHIL/ETB-INSA de Lyon-20, av A. Einstein Bat 307, 69 621 Villeurbanne Cedex France. E-mail: [email protected]