An Adaptive Moving Mesh Method for Two-Dimensional Relativistic Hydrodynamics

An Adaptive Moving Mesh Method for Two-Dimensional Relativistic Hydrodynamics

Year:    2012

Communications in Computational Physics, Vol. 11 (2012), Iss. 1 : pp. 114–146

Abstract

This paper extends the adaptive moving mesh method developed by Tang and Tang [36] to two-dimensional (2D) relativistic hydrodynamic (RHD) equations. The algorithm consists of two "independent" parts: the time evolution of the RHD equations and the (static) mesh iteration redistribution. In the first part, the RHD equations are discretized by using a high resolution finite volume scheme on the fixed but nonuniform meshes without the full characteristic decomposition of the governing equations. The second part is an iterative procedure. In each iteration, the mesh points are first redistributed, and then the cell averages of the conservative variables are remapped onto the new mesh in a conservative way. Several numerical examples are given to demonstrate the accuracy and effectiveness of the proposed method.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.291010.180311a

Communications in Computational Physics, Vol. 11 (2012), Iss. 1 : pp. 114–146

Published online:    2012-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    33

Keywords:   

  1. Minimum Principle on Specific Entropy and High-Order Accurate Invariant-Region-Preserving Numerical Methods for Relativistic Hydrodynamics

    Wu, Kailiang

    SIAM Journal on Scientific Computing, Vol. 43 (2021), Iss. 6 P.B1164

    https://doi.org/10.1137/21M1397994 [Citations: 16]
  2. A direct Eulerian GRP scheme for relativistic hydrodynamics: One-dimensional case

    Yang, Zhicheng | He, Peng | Tang, Huazhong

    Journal of Computational Physics, Vol. (2011), Iss.

    https://doi.org/10.1016/j.jcp.2011.07.004 [Citations: 3]
  3. Gmunu: paralleled, grid-adaptive, general-relativistic magnetohydrodynamics in curvilinear geometries in dynamical space–times

    Cheong, Patrick Chi-Kit | Lam, Alan Tsz-Lok | Ng, Harry Ho-Yin | Li, Tjonnie Guang Feng

    Monthly Notices of the Royal Astronomical Society, Vol. 508 (2021), Iss. 2 P.2279

    https://doi.org/10.1093/mnras/stab2606 [Citations: 15]
  4. Adaptive moving grid methods for two-phase flow in porous media

    Dong, Hao | Qiao, Zhonghua | Sun, Shuyu | Tang, Tao

    Journal of Computational and Applied Mathematics, Vol. 265 (2014), Iss. P.139

    https://doi.org/10.1016/j.cam.2013.09.027 [Citations: 14]
  5. Finite volume local evolution Galerkin method for two-dimensional relativistic hydrodynamics

    Wu, Kailiang | Tang, Huazhong

    Journal of Computational Physics, Vol. 256 (2014), Iss. P.277

    https://doi.org/10.1016/j.jcp.2013.08.057 [Citations: 16]
  6. A numerical study of 2D detonation waves with adaptive finite volume methods on unstructured grids

    Hu, Guanghui

    Journal of Computational Physics, Vol. 331 (2017), Iss. P.297

    https://doi.org/10.1016/j.jcp.2016.11.041 [Citations: 8]
  7. Runge–Kutta discontinuous Galerkin methods for the special relativistic magnetohydrodynamics

    Zhao, Jian | Tang, Huazhong

    Journal of Computational Physics, Vol. 343 (2017), Iss. P.33

    https://doi.org/10.1016/j.jcp.2017.04.027 [Citations: 21]
  8. An adaptive degrees-of-freedom finite-element method for transient magnetic field analysis

    Zhao, Yanpu | Ho, S. L. | Fu, W. N.

    IEEE Transactions on Magnetics, Vol. 49 (2013), Iss. 12 P.5724

    https://doi.org/10.1109/TMAG.2013.2273312 [Citations: 7]
  9. Entropy stable discontinuous Galerkin schemes for the special relativistic hydrodynamics equations

    Biswas, Biswarup | Kumar, Harish | Bhoriya, Deepak

    Computers & Mathematics with Applications, Vol. 112 (2022), Iss. P.55

    https://doi.org/10.1016/j.camwa.2022.02.019 [Citations: 4]
  10. High-order accurate entropy stable adaptive moving mesh finite difference schemes for special relativistic (magneto)hydrodynamics

    Duan, Junming | Tang, Huazhong

    Journal of Computational Physics, Vol. 456 (2022), Iss. P.111038

    https://doi.org/10.1016/j.jcp.2022.111038 [Citations: 11]
  11. Provably convergent Newton–Raphson methods for recovering primitive variables with applications to physical-constraint-preserving Hermite WENO schemes for relativistic hydrodynamics

    Cai, Chaoyi | Qiu, Jianxian | Wu, Kailiang

    Journal of Computational Physics, Vol. 498 (2024), Iss. P.112669

    https://doi.org/10.1016/j.jcp.2023.112669 [Citations: 1]
  12. High-order accurate entropy stable nodal discontinuous Galerkin schemes for the ideal special relativistic magnetohydrodynamics

    Duan, Junming | Tang, Huazhong

    Journal of Computational Physics, Vol. 421 (2020), Iss. P.109731

    https://doi.org/10.1016/j.jcp.2020.109731 [Citations: 17]
  13. Adaptive Degrees-of-Freedom Finite-Element Analysis of 3-D Transient Magnetic Problems

    Zhang, Yunpeng | Yang, Xinsheng | Wu, Huihuan | Shao, Dingguo | Fu, Weinong

    IEEE Transactions on Magnetics, Vol. 57 (2021), Iss. 2 P.1

    https://doi.org/10.1109/TMAG.2020.3009506 [Citations: 3]
  14. A fast dynamic smooth adaptive meshing scheme with applications to compressible flow

    Ramani, Raaghav | Shkoller, Steve

    Journal of Computational Physics, Vol. 490 (2023), Iss. P.112280

    https://doi.org/10.1016/j.jcp.2023.112280 [Citations: 1]
  15. Numerical solution of special ultra-relativistic Euler equations using central upwind scheme

    Ghaffar, Tayabia | Yousaf, Muhammad | Qamar, Shamsul

    Results in Physics, Vol. 9 (2018), Iss. P.1161

    https://doi.org/10.1016/j.rinp.2018.03.052 [Citations: 0]
  16. Runge-Kutta Central Discontinuous Galerkin Methods for the Special Relativistic Hydrodynamics

    Zhao, Jian | Tang, Huazhong

    Communications in Computational Physics, Vol. 22 (2017), Iss. 3 P.643

    https://doi.org/10.4208/cicp.OA-2016-0192 [Citations: 8]
  17. Numerical Study of Singularity Formation in Relativistic Euler Flows

    Gremaud, Pierre A. | Sun, Yi

    Communications in Computational Physics, Vol. 16 (2014), Iss. 2 P.348

    https://doi.org/10.4208/cicp.221212.300114a [Citations: 1]
  18. A High-Order Accurate Gas-Kinetic Scheme for One- and Two-Dimensional Flow Simulation

    Liu, Na | Tang, Huazhong

    Communications in Computational Physics, Vol. 15 (2014), Iss. 4 P.911

    https://doi.org/10.4208/cicp.130313.210613s [Citations: 25]
  19. xtroem-fv: a new code for computational astrophysics based on very high order finite-volume methods – II. Relativistic hydro- and magnetohydrodynamics

    Núñez-de la Rosa, Jonatan | Munz, Claus-Dieter

    Monthly Notices of the Royal Astronomical Society, Vol. 460 (2016), Iss. 1 P.535

    https://doi.org/10.1093/mnras/stw999 [Citations: 18]
  20. Bound-preserving discontinuous Galerkin methods for relativistic hydrodynamics

    Qin, Tong | Shu, Chi-Wang | Yang, Yang

    Journal of Computational Physics, Vol. 315 (2016), Iss. P.323

    https://doi.org/10.1016/j.jcp.2016.02.079 [Citations: 47]
  21. Physical-constraints-preserving Lagrangian finite volume schemes for one- and two-dimensional special relativistic hydrodynamics

    Ling, Dan | Duan, Junming | Tang, Huazhong

    Journal of Computational Physics, Vol. 396 (2019), Iss. P.507

    https://doi.org/10.1016/j.jcp.2019.06.055 [Citations: 13]
  22. Boosting the accuracy of SPH techniques: Newtonian and special-relativistic tests

    Rosswog, S.

    Monthly Notices of the Royal Astronomical Society, Vol. 448 (2015), Iss. 4 P.3628

    https://doi.org/10.1093/mnras/stv225 [Citations: 59]
  23. A Simulation Study of Ultra-relativistic Jets–I. A New Code for Relativistic Hydrodynamics

    Seo, Jeongbhin | Kang, Hyesung | Ryu, Dongsu | Ha, Seungwoo | Chattopadhyay, Indranil

    The Astrophysical Journal, Vol. 920 (2021), Iss. 2 P.143

    https://doi.org/10.3847/1538-4357/ac19b3 [Citations: 7]
  24. Second-order accurate BGK schemes for the special relativistic hydrodynamics with the Synge equation of state

    Chen, Yaping | Kuang, Yangyu | Tang, Huazhong

    Journal of Computational Physics, Vol. 442 (2021), Iss. P.110438

    https://doi.org/10.1016/j.jcp.2021.110438 [Citations: 3]
  25. Steger-Warming flux vector splitting method for special relativistic hydrodynamics

    Zhao, Jian | He, Peng | Tang, Huazhong

    Mathematical Methods in the Applied Sciences, Vol. 37 (2014), Iss. 7 P.1003

    https://doi.org/10.1002/mma.2857 [Citations: 8]
  26. A direct Eulerian GRP scheme for relativistic hydrodynamics: Two-dimensional case

    Yang, Zhicheng | Tang, Huazhong

    Journal of Computational Physics, Vol. 231 (2012), Iss. 4 P.2116

    https://doi.org/10.1016/j.jcp.2011.11.026 [Citations: 25]
  27. High-Order Accurate Entropy Stable Schemes for Relativistic Hydrodynamics with General Synge-Type Equation of State

    Xu, Linfeng | Ding, Shengrong | Wu, Kailiang

    Journal of Scientific Computing, Vol. 98 (2024), Iss. 2

    https://doi.org/10.1007/s10915-023-02440-x [Citations: 1]
  28. High-order accurate physical-constraints-preserving finite difference WENO schemes for special relativistic hydrodynamics

    Wu, Kailiang | Tang, Huazhong

    Journal of Computational Physics, Vol. 298 (2015), Iss. P.539

    https://doi.org/10.1016/j.jcp.2015.06.012 [Citations: 58]
  29. Hybrid DG/FV schemes for magnetohydrodynamics and relativistic hydrodynamics

    Núñez-de la Rosa, Jonatan | Munz, Claus-Dieter

    Computer Physics Communications, Vol. 222 (2018), Iss. P.113

    https://doi.org/10.1016/j.cpc.2017.09.026 [Citations: 17]
  30. Remapping-Free Adaptive GRP Method for Multi-Fluid Flows I: One Dimensional Euler Equations

    Qi, Jin | Wang, Yue | Li, Jiequan

    Communications in Computational Physics, Vol. 15 (2014), Iss. 4 P.1029

    https://doi.org/10.4208/cicp.140313.111013s [Citations: 4]
  31. Entropy stable adaptive moving mesh schemes for 2D and 3D special relativistic hydrodynamics

    Duan, Junming | Tang, Huazhong

    Journal of Computational Physics, Vol. 426 (2021), Iss. P.109949

    https://doi.org/10.1016/j.jcp.2020.109949 [Citations: 21]
  32. Single-Step Arbitrary Lagrangian–Eulerian Discontinuous Galerkin Method for 1-D Euler Equations

    Badwaik, Jayesh | Chandrashekar, Praveen | Klingenberg, Christian

    Communications on Applied Mathematics and Computation, Vol. 2 (2020), Iss. 4 P.541

    https://doi.org/10.1007/s42967-019-00054-5 [Citations: 5]
  33. Efficient Alternative Finite Difference WENO Schemes for Hyperbolic Conservation Laws

    Balsara, Dinshaw S. | Bhoriya, Deepak | Shu, Chi-Wang | Kumar, Harish

    Communications on Applied Mathematics and Computation, Vol. (2024), Iss.

    https://doi.org/10.1007/s42967-023-00360-z [Citations: 2]
  34. A physical-constraint-preserving finite volume WENO method for special relativistic hydrodynamics on unstructured meshes

    Chen, Yaping | Wu, Kailiang

    Journal of Computational Physics, Vol. 466 (2022), Iss. P.111398

    https://doi.org/10.1016/j.jcp.2022.111398 [Citations: 8]
  35. Runge–Kutta discontinuous Galerkin methods with WENO limiter for the special relativistic hydrodynamics

    Zhao, Jian | Tang, Huazhong

    Journal of Computational Physics, Vol. 242 (2013), Iss. P.138

    https://doi.org/10.1016/j.jcp.2013.02.018 [Citations: 29]
  36. Flow2Mesh: A flow-guided data-driven mesh adaptation framework

    Yu, Jian | Lyu, Hongqiang | Xu, Ran | Ouyang, Wenxuan | Liu, Xuejun

    Physics of Fluids, Vol. 36 (2024), Iss. 3

    https://doi.org/10.1063/5.0188690 [Citations: 1]
  37. Second-order accurate genuine BGK schemes for the ultra-relativistic flow simulations

    Chen, Yaping | Kuang, Yangyu | Tang, Huazhong

    Journal of Computational Physics, Vol. 349 (2017), Iss. P.300

    https://doi.org/10.1016/j.jcp.2017.08.022 [Citations: 6]