Wall-Modeled Large-Eddy Simulation with Second-Order Accurate Upwind Scheme

2021 ◽  
Author(s):  
Hidemasa Yasuda ◽  
Soshi Kawai
Keyword(s):  
Large Eddy Simulation ◽  
Second Order ◽  
Upwind Scheme ◽  
Eddy Simulation ◽  
Large Eddy

Large Eddy Simulation of Gas - Second Order Moment of Particle Approach for Riser

2013 ◽  
Vol 274 ◽  
pp. 596-599 ◽  
Author(s):  
Ju Hui Chen ◽  
Ting Hu ◽  
Jiu Ru Li
Keyword(s):  
Large Eddy Simulation ◽  
Fluid Model ◽  
Flow Behavior ◽  
Second Order ◽  
Order Moment ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Two Fluid Model ◽  
Two Fluid ◽  
Particle Approach

Flow behavior of gas and particles is performed by means of gas–solid two-fluid model with the large eddy simulation for gas and the second order moment for particles in the riser. This study shows that the computed solids volume fractions of two cases are compared with the experimental data using a two-dimensional model. The gas and solid velocity is computed.

Large-Eddy Simulation of Shock-Wave-Induced Turbulent Mixing

2007 ◽  
Vol 129 (12) ◽  
pp. 1504-1513 ◽  
Author(s):  
Ben Thornber ◽  
Dimitris Drikakis
Keyword(s):  
Large Eddy Simulation ◽  
Turbulent Mixing ◽  
Second Order ◽  
Computational Time ◽  
Eddy Simulation ◽  
Mixing Parameters ◽  
Large Eddy ◽  
Wave Induced ◽  
Fifth Order ◽  
Implicit Large Eddy Simulation

The paper presents implicit large-eddy simulation (ILES) simulation of a shock tube experiment involving compressible turbulent mixing. A new characteristic-based approximate Riemann solver is derived, and employed in a second-order and fifth-order finite volume Godunov-type ILES framework. The methods are validated against (qualitative) experimental data and then compared and contrasted in terms of resolved turbulent kinetic energy and mixing parameters as a function of grid resolution. It is concluded that both schemes represent the experiment with good accuracy. However, the fifth-order results are approximately equivalent to results gained on double the grid size at second order, whereas the fifth-order method requires only approximately 20% extra computational time.

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