Advanced Computational Methods for Fluid Dynamics and Applications

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 2648

Special Issue Editor


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Guest Editor
School of Computing and Mathematics, Charles Sturt University, Thurgoona, NSW 2640, Australia
Interests: computational methods for fluid flow or computational fluid dynamics; mathematical modelling; fuzzy neural networks

Special Issue Information

Dear Colleagues,

Fluid flows are commonplace; however, we still cannot solve most fluid mechanical problems without the use of computational methods. Over the last thirty years, there have been significant progresses in computational methods for fluid flow. This Special Issue presents the recent achievements in the area. 

Any theoretical research and practical applications in computational methods for fluid flows are welcome. The topics may include mesh generation, numerical methods for the mathematical models in fluid dynamics, experimental studies showing the validity of computational methods for fluid flows, and numerical simulations of fluid flows.

Dr. Zhenquan Li
Guest Editor

Manuscript Submission Information

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Keywords

  • computational methods for fluid flow
  • numerical simulation of fluid flow
  • mathematical modelling

Published Papers (3 papers)

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Research

23 pages, 1535 KiB  
Article
The Second-Order Numerical Approximation for a Modified Ericksen–Leslie Model
by Cheng Liao, Danxia Wang and Haifeng Zhang
Mathematics 2024, 12(5), 672; https://doi.org/10.3390/math12050672 - 25 Feb 2024
Viewed by 380
Abstract
In this study, two numerical schemes with second-order accuracy in time for a modified Ericksen–Leslie model are constructed. The highlight is based on a novel convex splitting method for dealing with the nonlinear potentials, which is integrated with the second-order backward differentiation formula [...] Read more.
In this study, two numerical schemes with second-order accuracy in time for a modified Ericksen–Leslie model are constructed. The highlight is based on a novel convex splitting method for dealing with the nonlinear potentials, which is integrated with the second-order backward differentiation formula (BDF2) and leap frog method for temporal discretization and the finite element method for spatial discretization. The unconditional energy stability of both schemes is further demonstrated. Finally, several numerical examples are presented to demonstrate the efficiency and accuracy of the proposed schemes. Full article
(This article belongs to the Special Issue Advanced Computational Methods for Fluid Dynamics and Applications)
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18 pages, 5119 KiB  
Article
A New Entropy Stable Finite Difference Scheme for Hyperbolic Systems of Conservation Laws
by Zhizhuang Zhang, Xiangyu Zhou, Gang Li, Shouguo Qian and Qiang Niu
Mathematics 2023, 11(12), 2604; https://doi.org/10.3390/math11122604 - 07 Jun 2023
Viewed by 937
Abstract
The hyperbolic problem has a unique entropy solution, which maintains the entropy inequality. As such, people hope that the numerical results should maintain the discrete entropy inequalities accordingly. In view of this, people tend to construct entropy stable (ES) schemes. However, traditional numerical [...] Read more.
The hyperbolic problem has a unique entropy solution, which maintains the entropy inequality. As such, people hope that the numerical results should maintain the discrete entropy inequalities accordingly. In view of this, people tend to construct entropy stable (ES) schemes. However, traditional numerical schemes cannot directly maintain discrete entropy inequalities. To address this, we here construct an ES finite difference scheme for the nonlinear hyperbolic systems of conservation laws. The proposed scheme can not only maintain the discrete entropy inequality, but also enjoy high-order accuracy. Firstly, we construct the second-order accurate semi-discrete entropy conservative (EC) schemes and ensure that the schemes meet the entropy identity when an entropy pair is given. Then, the second-order EC schemes are used as a building block to achieve the high-order accurate semi-discrete EC schemes. Thirdly, we add a dissipation term to the above schemes to obtain the high-order ES schemes. The term is based on the Weighted Essentially Non-Oscillatory (WENO) reconstruction. Finally, we integrate the scheme using the third-order Runge–Kutta (RK) approach in time. In the end, plentiful one- and two-dimensional examples are implemented to validate the capability of the scheme. In summary, the current scheme has sharp discontinuity transitions and keeps the genuine high-order accuracy for smooth solutions. Compared to the standard WENO schemes, the current scheme can achieve higher resolution. Full article
(This article belongs to the Special Issue Advanced Computational Methods for Fluid Dynamics and Applications)
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17 pages, 3880 KiB  
Article
Unconditional Superconvergence Error Estimates of Semi-Implicit Low-Order Conforming Mixed Finite Element Method for Time-Dependent Navier–Stokes Equations
by Xiaoling Meng and Huaijun Yang
Mathematics 2023, 11(8), 1945; https://doi.org/10.3390/math11081945 - 20 Apr 2023
Cited by 1 | Viewed by 930
Abstract
In this paper, the unconditional superconvergence error analysis of the semi-implicit Euler scheme with low-order conforming mixed finite element discretization is investigated for time-dependent Navier–Stokes equations. In terms of the high-accuracy error estimates of the low-order finite element pair on the rectangular mesh [...] Read more.
In this paper, the unconditional superconvergence error analysis of the semi-implicit Euler scheme with low-order conforming mixed finite element discretization is investigated for time-dependent Navier–Stokes equations. In terms of the high-accuracy error estimates of the low-order finite element pair on the rectangular mesh and the unconditional boundedness of the numerical solution in L-norm, the superclose error estimates for velocity in H1-norm and pressure in L2-norm are derived firstly by dealing with the trilinear term carefully and skillfully. Then, the global superconvergence results are obtained with the aid of the interpolation post-processing technique. Finally, some numerical experiments are carried out to support the theoretical findings. Full article
(This article belongs to the Special Issue Advanced Computational Methods for Fluid Dynamics and Applications)
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