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Related Experiment Video

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Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

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Physically Consistent Resolving Simulations of Turbulent Flows.

¹Department of Mathematics and Statistics, University of Wyoming, 1000 E. University Avenue, Laramie, WY 82071, USA.

Entropy (Basel, Switzerland)

|January 8, 2025

Summary

This summary is machine-generated.

New minimal error simulation methods overcome challenges in turbulent flow simulations like large eddy simulation (LES). These advanced techniques offer better performance and lower computational cost for complex flow problems.

Keywords:

Reynolds-averaged Navier-Stokes (RANS) methods computational fluid dynamics hybrid RANS-LES methods large eddy simulation (LES)

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Area of Science:

Fluid Dynamics
Computational Science

Background:

Traditional turbulent flow simulations like large eddy simulation (LES), wall-modeled LES (WMLES), and detached eddy simulation (DES) suffer from resolution issues, high computational costs, and mismatched resolutions.
These limitations hinder accurate and efficient simulation of complex, high Reynolds number flows.

Purpose of the Study:

To introduce and validate novel minimal error simulation methods for turbulent flows.
To address the inherent shortcomings of existing simulation techniques.

Main Methods:

Utilizing extremal entropy analysis to design simulation methods with minimized error.
Identifying and incorporating a general hybridization mechanism absent in current methods.

Main Results:

Demonstrated that minimal error methods can overcome the typical problems associated with LES, WMLES, and DES.
Identified a key mathematical hybridization mechanism crucial for improved simulation.

Conclusions:

Minimal error simulation methods offer significant advantages in performance, functionality, and computational cost.
These novel methods provide a more effective approach for simulating complex high Reynolds number turbulent flows.