Regressing the size and cost of turbulent cavity flow simulations
| Autor: | Aldo Rona, Manuele Monti |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Discretization
business.industry Computer science K-epsilon turbulence model Turbulence lcsh:T57-57.97 lcsh:Mathematics Turbulence modeling Reynolds number Reynolds stress equation model Mechanics Computational fluid dynamics lcsh:QA1-939 Physics::Fluid Dynamics Boundary layer symbols.namesake lcsh:Applied mathematics. Quantitative methods symbols business Simulation |
| Zdroj: | Journal of Algorithms & Computational Technology, Vol 5 (2011) |
| DOI: | 10.6084/m9.figshare.21365124 |
| Popis: | A successful model of high Reynolds number cavity flows involves reproducing the flow physics with adequate accuracy, given the available computational resources. The process of planning high Reynolds number cavity flow simulations is systematically reviewed to extract the dependence of different programmer's choices on the CFD mesh size and on the cost of the computation. This process has been broken down into five phases: i) description of the problem in the continuous domain, ii) problem order reduction by turbulence modelling, iii) discretization in space and time, iv) integration of the governing equations, v) costing the numerical operations of the flow solver. This paper examines the influence of each phase on the spectral width and the grid density, which are the key CFD indicators that determine the cost of the computation. A dimensional analysis was conducted to separate the effects of the geometry of the enclosure, the boundary layer resolution, the turbulence model, and the numerical scheme order of accuracy. Regression analysis on the non-dimensional groups of published cavity CFD simulations determined the range of practical values used by current state-of-the-art computations. This analysis is a useful tool for obtaining design trade-offs by a multivariate optimization in cavity flow CFD and for estimating the order of magnitude of the computational resources required by the simulations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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