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Keywords: quasi-gas dynamics, radiative heat transfer, diffusion approximation, parallel computing.

Summary

Gas flow is considered inside a free form closed volume with a boundary made of triangles or rectangles in two and three-dimensional Cartesian space. For numerical solution of QGD and RGD equation systems [2] the unstructured locally-condensing meshes are applied. The number of nodes in the meshes used vary from 10⁴ to 10⁶.

The grid generator is a software package which contains some sets of instruments. They allow a user to solve a specified problem from beginning (designing a problem's geometry, setting boundary conditions) to end (viewing end results using the visualization instrument provided). These instruments are oriented towards the use of parallel computing algorithms and modern multiprocessor systems.

The focus of this paper is on the software design of the suite with illustrating examples of applications [3].

For numerical solution of the QGD equations system we used tetrahedral meshes. Applying the control volume method, the explicit numerical scheme was designed. Control volumes are built around each node of a mesh and the union of all such control volumes is equal to the total computational domain [4].

The parallel code efficiency has been tested using a wide range of problems on different scale computational clusters from tens of nodes to high performance systems consisting of several thousand nodes.

References

1: T.G. Elizarova, "Quasi-Gas Dynamic Equations", Springer-Verlag, Berlin Heidelberg New York, 2009. doi:10.1007/978-3-642-00292-2_3
2: B.N. Chetverushkin, "Mathematical modeling of problems in the dynamics of a radiating gas", Moscow, Science, 1985. (In Russian)
3: A. Ramos, B. Mate, G. Tejeda, J.M. Fernandez, S. Montero, "Raman Spectroscopy of Hypersonic Shock Waves", Physical Rev E, October, 2000. doi:10.1103/PhysRevE.62.4940
4: S.V. Polyakov, T.A. Kudryashova, E.M. Kononov, A.A. Sverdlin, "3D Numerical Simulation Of Gas Flow Around Reentry Vehicles", Booklet of Contributed Abstracts, Parallel CFD 2008 Conference, 2008. doi:10.1007/978-3-642-14438-7_43

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 95 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 27 A Program Suite for Gas Dynamic Problems S. Polyakov, T. Kudryashova, A. Sverdlin, A. Kononov and O. Kosolapov Keldysh Institute for Applied Mathematics, Russian Academy of Science, Moscow, Russia doi:10.4203/ccp.95.27 purchase the full-text of this paper Full Bibliographic Reference for this paper S. Polyakov, T. Kudryashova, A. Sverdlin, A. Kononov, O. Kosolapov, "A Program Suite for Gas Dynamic Problems", in , (Editors), "Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 27, 2011. doi:10.4203/ccp.95.27 Keywords: quasi-gas dynamics, radiative heat transfer, diffusion approximation, parallel computing. Summary Gas flow is considered inside a free form closed volume with a boundary made of triangles or rectangles in two and three-dimensional Cartesian space. For numerical solution of QGD and RGD equation systems [2] the unstructured locally-condensing meshes are applied. The number of nodes in the meshes used vary from 10⁴ to 10⁶. The grid generator is a software package which contains some sets of instruments. They allow a user to solve a specified problem from beginning (designing a problem's geometry, setting boundary conditions) to end (viewing end results using the visualization instrument provided). These instruments are oriented towards the use of parallel computing algorithms and modern multiprocessor systems. The focus of this paper is on the software design of the suite with illustrating examples of applications [3]. For numerical solution of the QGD equations system we used tetrahedral meshes. Applying the control volume method, the explicit numerical scheme was designed. Control volumes are built around each node of a mesh and the union of all such control volumes is equal to the total computational domain [4]. The parallel code efficiency has been tested using a wide range of problems on different scale computational clusters from tens of nodes to high performance systems consisting of several thousand nodes. References 1 T.G. Elizarova, "Quasi-Gas Dynamic Equations", Springer-Verlag, Berlin Heidelberg New York, 2009. doi:10.1007/978-3-642-00292-2_3 2 B.N. Chetverushkin, "Mathematical modeling of problems in the dynamics of a radiating gas", Moscow, Science, 1985. (In Russian) 3 A. Ramos, B. Mate, G. Tejeda, J.M. Fernandez, S. Montero, "Raman Spectroscopy of Hypersonic Shock Waves", Physical Rev E, October, 2000. doi:10.1103/PhysRevE.62.4940 4 S.V. Polyakov, T.A. Kudryashova, E.M. Kononov, A.A. Sverdlin, "3D Numerical Simulation Of Gas Flow Around Reentry Vehicles", Booklet of Contributed Abstracts, Parallel CFD 2008 Conference, 2008. doi:10.1007/978-3-642-14438-7_43 purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £85 +P&P)
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