4.5 Article

On the proper setup of the double Mach reflection as a test case for the resolution of gas dynamics codes

期刊

COMPUTERS & FLUIDS
卷 132, 期 -, 页码 72-75

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compfluid.2016.04.008

关键词

Double Mach reflection; High speed flow; High resolution scheme; Numerical test case

资金

  1. Deutsche Forschungsgemeinschaft (DFG)

向作者/读者索取更多资源

This short communication discusses the initial and boundary conditions as well as the size of the computational domain for the double Mach reflection problem when set up as a test for the resolution of an Euler scheme for gas dynamics. (C) 2016 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
Article Computer Science, Interdisciplinary Applications

Well-balanced kinetic schemes for two-phase flows

Jin Bao, Zhaoli Guo

Summary: At the equilibrium state of a two-phase fluid system, the chemical potential is constant and the velocity is zero. However, it is challenging to capture this equilibrium state accurately in numerical simulations, resulting in inconsistent thermodynamic interfacial properties and spurious velocities. Therefore, numerical schemes with well-balanced properties are preferred for simulating two-phase flows.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

High-Order Implicit Large Eddy Simulation using Entropically Damped Artificial Compressibility

Brian C. Vermeire

Summary: This study presents a framework for implicit large eddy simulation (ILES) of incompressible flows by combining the entropically damped artificial compressibility (EDAC) method with the flux reconstruction (FR) approach. Experimental results demonstrate that the method is accurate and stable for low-order solutions, while higher-order solutions exhibit significantly higher accuracy and lower divergence error compared to reference direct numerical simulation.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Analysis of inflow conditions on the flow past a wall-mounted square cylinder with OpenFOAM

Mijian Li, Rui Wang, Xinyu Guo, Xinyu Liu, Lianzhou Wang

Summary: In this study, the flow mechanisms around wall-mounted structures were investigated using Large Eddy Simulation (LES). The impact of inflow turbulence on the flow physics, dynamic response, and hydrodynamic performance was explored. The results revealed strong interference between velocity fluctuations and the wake past the cylinder, as well as significant convection effects in the far wake region.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Evaluation of a high-order central-difference solver for highly compressible flows out of thermochemical equilibrium

Donatella Passiatore, Luca Sciacovelli, Paola Cinnella, Giuseppe Pascazio

Summary: A high-order shock-capturing central finite-difference scheme is evaluated for numerical simulations of hyper-sonic high-enthalpy flows out of thermochemical equilibrium. The scheme utilizes a tenth-order accurate central-difference approximation of inviscid fluxes, along with high-order artificial dissipation and shock-capturing terms. The proposed approach demonstrates accuracy and robustness for a variety of thermochemical non-equilibrium configurations.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Sessile super-droplets as quasi-static wall deformations in direct numerical simulation of turbulent channel flow

Philipp Bahavar, Claus Wagner

Summary: Condensation is an important aspect in flow applications, and simulating the gas phase and tracking the deposition rates of condensate droplets can capture the effects of surface droplets on the flow while reducing computational costs.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Reused LU factorization as a preconditioner for efficient solution of the parabolized stability equations

Andras Szabo, Gyorgy Paal

Summary: This paper introduces an efficient calculation method, the parabolized stability equations (PSE), for solving stability equations. By calculating LU factorization once in each marching step, the time spent on solving linear systems of equations can be significantly reduced. Numerical experiments demonstrate the effectiveness of this method in reducing the solution time for linear equations, and its applicability to similar problems.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Evaluation of an efficient data-driven ANN model to predict agglomerate collisions within Euler-Lagrange simulations

A. Khalifa, M. Breuer

Summary: This study evaluates a recently developed data-driven model for collision-induced agglomerate breakup in high mass loading flows. The model uses artificial neural networks to predict the post-collision behavior of agglomerates, reducing computational costs compared to coupled CFD-DEM simulations.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

A high-order domain preserving DG method for the two-layer shallow water equations

Chunmei Du, Maojun Li

Summary: This paper considers the bilayer shallow water wave equations in one-dimensional space and presents an invariant domain preserving DG method to avoid Kelvin-Helmholtz instability.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Learning of viscosity functions in rarefied gas flows with physics-informed neural networks

Jean-Michel Tucny, Mihir Durve, Andrea Montessori, Sauro Succi

Summary: The prediction of non-equilibrium transport phenomena in disordered media is a challenging problem for conventional numerical methods. Physics-informed neural networks (PINNs) show potential for solving this inverse problem. In this study, PINNs were used to successfully predict the velocity field of rarefied gas flow, and AdamW was found to be the best optimizer.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Shock capturing for a high-order ALE discontinuous Galerkin method with applications to fluid flows in time-dependent domains

Min Gao, Pascal Mossier, Claus-Dieter Munz

Summary: In recent decades, the arbitrary Lagrangian-Eulerian (ALE) approach has gained popularity in dealing with fluid flows with moving boundaries. This paper presents a novel algorithm that combines the ALE finite volume (FV) and ALE discontinuous Galerkin (DG) methods into a stable and efficient hybrid approach. The main challenge of this mixed ALE FV and ALE DG method is reducing the inconsistency between the two discretizations. The proposed algorithm is implemented into a loosely-coupled fluid-structure interaction (FSI) framework and is demonstrated through various benchmark test cases and complex scenarios.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Study of the convergence of the Meshless Lattice Boltzmann Method in Taylor-Green, annular channel and a porous medium flows

Dawid Strzelczyk, Maciej Matyka

Summary: In this study, the numerical convergence of the Meshless Lattice Boltzmann Method (MLBM) is investigated through three benchmark tests. The results are compared to the standard Lattice Boltzmann Method (LBM) and the analytical solution of the Navier-Stokes equation. It is found that MLBM outperforms LBM in terms of error value for the same number of nodes discretizing the domain.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

An adaptive approach to remove tensile instability in SPH for weakly compressible fluids

Kanishka Bhattacharya, Tapan Jana, Amit Shaw, L. S. Ramachandra, Vishal Mehra

Summary: In this work, an adaptive algorithm is developed to address the issue of tensile instability in Smoothed Particle Hydrodynamics (SPH) by adjusting the shape of the kernel function to satisfy stability conditions. The effectiveness of the algorithm is demonstrated through dispersion analysis and fluid dynamics simulations.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Analysis of improved digital filter inflow generation methods for compressible turbulent boundary layers

Luis Laguarda, Stefan Hickel

Summary: We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique, such as introducing a more realistic correlation function and varying target length scales. Additionally, we suggest generating inflow data in parallel at a prescribed time interval to improve computational performance. Based on the results of large-eddy simulations, these enhancements have shown to be beneficial. Suppressing streamwise velocity fluctuations at the inflow leads to the fastest relaxation of pressure fluctuations. However, this approach increases the adaptation length, which can be shortened by artificially increasing the wall-normal Reynolds stresses.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

A compressible multiphase Mass-of-Fluid model for the simulation of laser-based manufacturing processes

Constantin Zenz, Michele Buttazzoni, Tobias Florian, Katherine Elizabeth Crespo Armijos, Rodrigo Gomez Vazquez, Gerhard Liedl, Andreas Otto

Summary: A new model for compressible multiphase flows involving sharp interfaces and phase change is presented, with a focus on the treatment of compressibility and phase change in the multiphase fluid flow model. The model's accuracy and suitability are demonstrated through comparisons with experimental observations.

COMPUTERS & FLUIDS (2024)

Article Computer Science, Interdisciplinary Applications

Quantifying uncertainties in direct numerical simulations of a turbulent channel flow

Joseph O'Connor, Sylvain Laizet, Andrew Wynn, Wouter Edeling, Peter V. Coveney

Summary: This article aims to apply uncertainty quantification and sensitivity analysis to the direct numerical simulation (DNS) of low Reynolds number wall-bounded turbulent channel flow. By using a highly scalable DNS framework and UQ techniques, the study evaluates the influence of different numerical parameters on the simulation results without explicitly modifying the code. The findings provide guidance for numerical simulations of wall-bounded turbulent flows.

COMPUTERS & FLUIDS (2024)