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Time-series data from a hybrid finite element Large Eddy Simulation of flow over a backward-facing step
Angus C W Creech1, Adrian Jackson2
1Department of Mathematics and Statistics, Acadia University, 15 University Avenue Wolfville, Nova Scotia B4P 2R6, Canada.
A new Large Eddy Simulation (LES) algorithm for computational fluid dynamics was validated using a backward-facing step. The simulation data provides temporal statistics for validating other LES models and comparing with the original model.
Area of Science:
- Computational fluid dynamics
- Turbulence modeling
Background:
- A Large Eddy Simulation (LES) algorithm was previously developed using a hybrid continuous-discontinuous Galerkin scheme within a finite element framework.
- The backward-facing step is a standard benchmark for validating computational fluid dynamics (CFD) models due to available experimental data.
Purpose of the Study:
- To validate the previously developed LES algorithm for CFD.
- To generate temporal statistics and time-series data for the backward-facing step flow.
- To provide data for validating other LES models and for detailed comparison with the original model.
Main Methods:
- Implementation of a Large Eddy Simulation (LES) turbulence algorithm.
- Utilized a finite element-based computational fluid dynamics (CFD) approach.
- Employed a hybrid continuous-discontinuous Galerkin scheme.
- Validated the model using a backward-facing step flow case with published experimental data.
Main Results:
- Generated temporal statistics, including averaged velocity and Reynolds stress profiles.
- Produced time-series data of the flow field.
- The simulation results align with expectations for a backward-facing step flow.
Conclusions:
- The developed LES algorithm is validated for CFD applications.
- The generated data serves as a valuable resource for validating alternative LES models.
- This study facilitates detailed comparisons between different turbulence modeling approaches.
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