Recent Advances in Numerical Simulation of Compressible Flows

A special issue of Computation (ISSN 2079-3197).

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 10708

Special Issue Editor


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Guest Editor
International Center for Applied Mechanics, School of Astronautics, Harbin Institute of Technology, West Dazhi Street, Harbin 150001, China
Interests: mathematical modelling; computational fluid dynamics; numerical simulation; aerodynamics; shock waves; two-phase flow; detonation; high-performance computing; compressible flow; combustion; numerical methods; gas dynamics; hyperbolic equations

Special Issue Information

Dear Colleagues,

Problems related to the flow of compressible media arise in many fields of science and technology, such as aerospace research, astrophysics, transport technologies, fire and explosion safety in industries, energetics, high-energy physics and many others. As a rule, mathematical models for describing such phenomena are described by systems of hyperbolic partial differential equations that allow solutions in the form of traveling waves, including discontinuous solutions. Despite the long history of studying the properties of such models, constructing appropriate numerical methods, developing appropriate solvers and computer codes and their application for fundamental and applied research, numerical modeling of flows of compressible media is still an intensively developing field of computational physics. This is due to the strong nonlinearity of the defining system of equations and a lot of additional factors complicating the solution, such as turbulent effects, multiphase nature of the medium, chemical reactions, etc. In turn, as a consequence, numerous developed models and methods have their own areas of applicability, or at least the range of parameters for which they work most effectively.

This Special Issue is dedicated to demonstrating recent advances in mathematical modeling and numerical simulation of gas or other compressible media flow in fundamental problems and natural and technological processes. Papers may report on original research, discuss methodological aspects, review the current state of the art or offer perspectives on future prospects.

Topics of the Special Issue include, but are not limited to:

  • Hyperbolic equations.
  • Toy-models for compressible media mechanics understanding.
  • Two-phase flows.
  • Flows with chemical reactions, including detonation waves.
  • Analytical approaches for building exact solutions of hyperbolic equations.
  • Finite-volume methods for the Euler and Navier–Stokes equations.
  • Theory of numerical methods.
  • High-Performance Computing in CFD.
  • Solution of practical problems in the field of aerodynamics, aerospace engineering, explosion safety, etc.
  • Numerical simulation of compressible flows using in-house codes.
  • Numerical simulation of compressible flows using software such as OpenFOAM, Ansys Fluent, Ansys CFX, etc.
  • Advances in computational meshes construction.
  • Education in the field of CFD.

Prof. Dr. Pavel Utkin
Guest Editor

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Keywords

  • numerical simulation
  • compressible flow
  • two-phase flow
  • numerical combustion
  • high-order methods
  • high-performance computing
  • shock wave
  • detonation wave
  • hyperbolic systems

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Published Papers (7 papers)

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Research

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16 pages, 8590 KiB  
Article
Large-Eddy Simulations of a Supersonic Impinging Jet Using OpenFOAM
by Rion Guang Yi You, Tze How New and Wai Lee Chan
Computation 2024, 12(6), 124; https://doi.org/10.3390/computation12060124 - 15 Jun 2024
Cited by 1 | Viewed by 1306
Abstract
Supersonic impinging jets are a versatile configuration that can model the compressible flows of cold-spray manufacturing and vertical take-off-and landing strategy. In this work, rhoCentralFoam, solver of the OpenFOAM framework, and a large-eddy simulation formulation were used to simulate an underexpanded supersonic [...] Read more.
Supersonic impinging jets are a versatile configuration that can model the compressible flows of cold-spray manufacturing and vertical take-off-and landing strategy. In this work, rhoCentralFoam, solver of the OpenFOAM framework, and a large-eddy simulation formulation were used to simulate an underexpanded supersonic jet of Mach 1.45 and nozzle pressure ratio of 4, impinging on a flat wall situated at 1.5 nozzle diameters away from the jet outlet. Care was taken in the mesh construction to properly capture the characteristic standoff shock and vortical structures. The grid convergence index was evaluated with three meshes of increasing spatial resolution. All meshes can generally be considered as sufficient in terms of results focused on time-averaged values and mean physical properties such as centerline Mach number profile. However, the highest resolution mesh was found to capture fine shear vortical structures and behaviors that are absent in the coarser cases. Therefore, the notion of adequate grid convergence may differ between analyses of time-averaged and transient information, and so should be determined by the user’s intention for conducting the simulations. To guide the selection of mesh resolution, scaling analyses were performed, for which the current rhoCentralFoam solver displays a good weak scaling performance and maintains a linear strong scaling up to 4096 cores (32 nodes) for an approximately 40 million-cell mesh. Due to the internode communication bottlenecks of OpenFOAM and improvements in central processing units, this work recommends, for future scaling analyses, adopting a “cells-per-node” basis over the conventional “cells-per-core” basis, with particular attention to the interconnect speed and architecture used. Full article
(This article belongs to the Special Issue Recent Advances in Numerical Simulation of Compressible Flows)
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20 pages, 1714 KiB  
Article
Computational Analysis of Hemodynamic Indices in Multivessel Coronary Artery Disease in the Presence of Myocardial Perfusion Dysfunction
by Timur Gamilov, Alexander Danilov, Peter Chomakhidze, Philipp Kopylov and Sergey Simakov
Computation 2024, 12(6), 110; https://doi.org/10.3390/computation12060110 - 30 May 2024
Viewed by 1101
Abstract
Coronary artery disease (CAD) is one of the main causes of death in the world. Functional indices such as fractional flow reserve (FFR), coronary flow reserve (CFR) and instantaneous wave-free ratio (iFR) are used to estimate the severity of CAD. Approximately 30–50% of [...] Read more.
Coronary artery disease (CAD) is one of the main causes of death in the world. Functional indices such as fractional flow reserve (FFR), coronary flow reserve (CFR) and instantaneous wave-free ratio (iFR) are used to estimate the severity of CAD. Approximately 30–50% of patients have residual myocardial ischaemia even after formally successful percutaneous coronary intervention (PCI). Myocardial perfusion impairment is one of the main factors responsible for recurrence. We propose a novel 1D model of coronary hemodynamics that takes into account myocardial contraction, stenoses and impaired microcirculation. It uses non-invasively acquired data. The model is able to simulate FFR and iFR with a mean relative error of 3% and a standard mean deviation of 0.04. We find that healthy FFR and iFR values in the short and long term do not always correspond to healthy CFR values and recovery of coronary blood flow. We also show that PCI of stenosis also improves hemodynamic indices in adjacent stenosed vessels, with a more pronounced effect in the long term. Full article
(This article belongs to the Special Issue Recent Advances in Numerical Simulation of Compressible Flows)
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15 pages, 2483 KiB  
Article
On the Features of Numerical Simulation of Hydrogen Self-Ignition under High-Pressure Release
by Alexey Kiverin, Andrey Yarkov and Ivan Yakovenko
Computation 2024, 12(5), 103; https://doi.org/10.3390/computation12050103 - 16 May 2024
Cited by 2 | Viewed by 907
Abstract
The paper is devoted to the comparative analysis of different CFD techniques used to solve the problem of high-pressure hydrogen release into the air. Three variations of a contemporary low-dissipation numerical technique (CABARET) are compared with each other and a conventional first-order numerical [...] Read more.
The paper is devoted to the comparative analysis of different CFD techniques used to solve the problem of high-pressure hydrogen release into the air. Three variations of a contemporary low-dissipation numerical technique (CABARET) are compared with each other and a conventional first-order numerical scheme. It is shown that low dissipation of the numerical scheme defines better resolution of the contact surface between released hydrogen and ambient air. As a result, the spatial structures of the jet and the reaction wave that arise during self-ignition are better resolved, which is useful for predicting the local effects of high-pressure hydrogen release. At the same time, the dissipation has little effect on the induction delay, so critical conditions of self-ignition can be reliably reproduced even via conventional numerical schemes. The test problem setups formulated in the paper can be used as benchmarks for compressible CFD solvers. Full article
(This article belongs to the Special Issue Recent Advances in Numerical Simulation of Compressible Flows)
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15 pages, 2612 KiB  
Article
Why Stable Finite-Difference Schemes Can Converge to Different Solutions: Analysis for the Generalized Hopf Equation
by Vladimir A. Shargatov, Anna P. Chugainova, Georgy V. Kolomiytsev, Irik I. Nasyrov, Anastasia M. Tomasheva, Sergey V. Gorkunov and Polina I. Kozhurina
Computation 2024, 12(4), 76; https://doi.org/10.3390/computation12040076 - 5 Apr 2024
Viewed by 1292
Abstract
The example of two families of finite-difference schemes shows that, in general, the numerical solution of the Riemann problem for the generalized Hopf equation depends on the finite-difference scheme. The numerical solution may differ both quantitatively and qualitatively. The reason for this is [...] Read more.
The example of two families of finite-difference schemes shows that, in general, the numerical solution of the Riemann problem for the generalized Hopf equation depends on the finite-difference scheme. The numerical solution may differ both quantitatively and qualitatively. The reason for this is the nonuniqueness of the solution to the Riemann problem for the generalized Hopf equation. The numerical solution is unique in the case of a flow function with two inflection points if artificial dissipation and dispersion are introduced, i.e., the generalized Korteweg–de Vries-Burgers equation is considered. We propose a method for selecting coefficients of dissipation and dispersion. The method makes it possible to obtain a physically justified unique numerical solution. This solution is independent of the difference scheme. Full article
(This article belongs to the Special Issue Recent Advances in Numerical Simulation of Compressible Flows)
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21 pages, 16562 KiB  
Article
Scale-Resolving Simulation of Shock-Induced Aerobreakup of Water Droplet
by Viola Rossano and Giuliano De Stefano
Computation 2024, 12(4), 71; https://doi.org/10.3390/computation12040071 - 3 Apr 2024
Cited by 1 | Viewed by 1304
Abstract
Two different scale-resolving simulation (SRS) approaches to turbulence modeling and simulation are used to predict the breakup of a spherical water droplet in air, due to the impact of a traveling plane shock wave. The compressible flow governing equations are solved by means [...] Read more.
Two different scale-resolving simulation (SRS) approaches to turbulence modeling and simulation are used to predict the breakup of a spherical water droplet in air, due to the impact of a traveling plane shock wave. The compressible flow governing equations are solved by means of a finite volume-based numerical method, with the volume-of-fluid technique being employed to track the air–water interface on the dynamically adaptive mesh. The three-dimensional analysis is performed in the shear stripping regime, examining the drift, deformation, and breakup of the droplet for a benchmark flow configuration. The comparison of the present SRS results against reference experimental and numerical data, in terms of both droplet morphology and breakup dynamics, provides evidence that the adopted computational methods have significant practical potential, being able to locally reproduce unsteady small-scale flow structures. These computational models offer viable alternatives to higher-fidelity, more costly methods for engineering simulations of complex two-phase turbulent compressible flows. Full article
(This article belongs to the Special Issue Recent Advances in Numerical Simulation of Compressible Flows)
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11 pages, 1580 KiB  
Article
The Mechanism of Resonant Amplification of One-Dimensional Detonation Propagating in a Non-Uniform Mixture
by Alexander Lopato and Pavel Utkin
Computation 2024, 12(2), 37; https://doi.org/10.3390/computation12020037 - 17 Feb 2024
Cited by 1 | Viewed by 1631
Abstract
The propagation of detonation waves (i.e., supersonic combustion waves) in non-uniform gaseous mixtures has become a matter of interest over the past several years due to the development of rotating detonation engines. It was shown in a number of recent theoretical studies of [...] Read more.
The propagation of detonation waves (i.e., supersonic combustion waves) in non-uniform gaseous mixtures has become a matter of interest over the past several years due to the development of rotating detonation engines. It was shown in a number of recent theoretical studies of one-dimensional pulsating detonation that perturbation of the parameters in front of the detonation wave can lead to a resonant amplification of intrinsic pulsations for a certain range of perturbation wavelengths. This work is dedicated to the clarification of the mechanism of this effect. One-dimensional reactive Euler equations with single-step Arrhenius kinetics were solved. Detonation propagation in a gas with sine waves in density was simulated in a shock-attached frame of reference. We carried out a series of simulations, varying the wavelength of the disturbances. We obtained a non-linear dependence of the amplitude of these pulsations on the wavelength of disturbances with resonant amplification for a certain range of wavelengths. The gain in velocity was about 25% of the Chapman–Jouguet velocity of the stable detonation wave. The effect is explained using the characteristic analysis in the x-t diagram. For the resonant case, we correlated the pulsation period with the time it takes for the C+ and C characteristics to travel through the effective reaction zone. A similar pulsation mechanism is realized when a detonation wave propagates in a homogeneous medium. Full article
(This article belongs to the Special Issue Recent Advances in Numerical Simulation of Compressible Flows)
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Review

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14 pages, 766 KiB  
Review
Overview of the Application of Physically Informed Neural Networks to the Problems of Nonlinear Fluid Flow in Porous Media
by Nina Dieva, Damir Aminev, Marina Kravchenko and Nikolay Smirnov
Computation 2024, 12(4), 69; https://doi.org/10.3390/computation12040069 - 2 Apr 2024
Cited by 2 | Viewed by 1790
Abstract
To describe unsteady multiphase flows in porous media, it is important to consider the non-Newtonian properties of fluids by including rheological laws in the hydrodynamic model. This leads to the formation of a nonlinear system of partial differential equations. To solve this direct [...] Read more.
To describe unsteady multiphase flows in porous media, it is important to consider the non-Newtonian properties of fluids by including rheological laws in the hydrodynamic model. This leads to the formation of a nonlinear system of partial differential equations. To solve this direct problem, it is necessary to linearize the equation system. Algorithm construction for inverse problem solution is problematic since the numerical solution is unstable. The application of implicit methods is reduced to matrix equations with a high rank of the coefficient matrix, which requires significant computational resources. The authors of this paper investigated the possibility of parameterized function (physics-informed neural networks) application to solve direct and inverse problems of non-Newtonian fluid flows in porous media. The results of laboratory experiments to process core samples and field data from a real oil field were selected as examples of application of this method. Due to the lack of analytical solutions, the results obtained via the finite difference method and via real experiments were proposed for validation. Full article
(This article belongs to the Special Issue Recent Advances in Numerical Simulation of Compressible Flows)
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