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Related Experiment Video

Updated: May 31, 2025

Design and Optimization Strategies of a High-Performance Vented Box
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Simulation of Flow Around a Finite Rectangular Prism: Influence of Mesh, Model, and Subgrid Length Scale.

Xutong Zhang1, Maxime Savoie1, Mark K Quinn1

  • 1Department of Mechanical and Aerospace Engineering, The University of Manchester, Manchester M1 3PL, UK.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
Summary

This study compared turbulence models for flow around a rectangular prism. Delayed Detached Eddy Simulation (DDES) showed improved accuracy with mesh refinement, outperforming Reynolds-Averaged Navier-Stokes (RANS) models.

Keywords:
DDESRANSexternal aerodynamicsgrey areahybrid RANS LESmesh refinementsubgrid length scale

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Area of Science:

  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics
  • Turbulence Modeling

Background:

  • Accurate simulation of flow fields around bluff bodies is crucial in engineering.
  • Reynolds-Averaged Navier-Stokes (RANS) and scale-resolving simulations like Delayed Detached Eddy Simulation (DDES) are common approaches.
  • Understanding the impact of mesh resolution and turbulence model parameters is essential for reliable predictions.

Purpose of the Study:

  • To investigate the influence of turbulence modeling, mesh resolution, and subgrid length scales on flow field predictions around a finite rectangular prism.
  • To assess the performance of various Reynolds-Averaged Navier-Stokes (RANS) and Delayed Detached Eddy Simulation (DDES) approaches.
  • To evaluate the effectiveness of different subgrid length scales, including the shear-layer-adapted (SLA) scale.

Main Methods:

  • Experimental investigation using Particle Image Velocimetry (PIV).
  • Computational Fluid Dynamics (CFD) simulations employing ten different turbulence models (RANS and DDES).
  • Systematic variation of six mesh resolutions and subgrid length scales.

Main Results:

  • DDES simulations demonstrated continuous improvement in predictive accuracy with mesh refinement, unlike RANS models.
  • The shear-layer-adapted (SLA) subgrid length scale (ΔSLA) consistently outperformed the cell-volume-based scale, especially at moderate resolutions.
  • Flow separation and reattachment were more sensitive to mesh refinement than wake resolution.

Conclusions:

  • DDES offers superior predictive capabilities for separated flows compared to RANS, particularly with appropriate mesh refinement.
  • The SLA subgrid length scale is recommended for improved accuracy in DDES, especially in resource-limited industrial settings.
  • The Taylor microscale may serve as a useful tool for mesh sizing in DDES simulations.