Detailed Record



Benefits of Minimal Error Simulation Methods for Turbulent Flows


Abstract Turbulent flows of practical relevance are often characterized by high Reynolds numbers and solid boundaries. The need to account for flow separation seen in such flows requires the use of (partially) resolving simulation methods on relatively coarse grids. Basically, only a few of such methods are regularly applied that are known to suffer from significant shortcomings: such methods are often characterized by significant uncertainty of predictions because of a variety of adjustable simulation settings, their computational cost can be very essential because performance shortcomings need to be compensated by a higher resolution, there are questions about their reliability because the flow resolving ability is unclear, all such predictions require justification. The paper contrasts usually applied simulation methods with minimal error simulation methods presented recently. The comparisons are used to address essential questions about required characteristics of desired simulation methods. The advantages of novel simulation methods (including their simplicity, significant computational cost reductions and a controlled resolution ability) are pointed out. Advantages are reported in regard to periodic hill flow simulations and NASA wall-mounted hump flow simulations.
Authors Heinz G. Stefan University of WyomingORCID
Journal Info Not listed | AIAA SCITECH 2024 Forum
Publication Date 1/4/2024
ISSN Not listed
TypeKeyword Image article
Open Access closed Closed Access
DOI https://doi.org/10.2514/6.2024-0293
KeywordsKeyword Image Turbulence Modeling (Score: 0.598182) , Turbulent Flows (Score: 0.589886) , Hydrodynamic Turbulence (Score: 0.54159) , Reynolds Number Scaling (Score: 0.539728)