Download Parallel Computational Fluid Dynamics: 25th International by Kenli Li, Zheng Xiao, Yan Wang, Jiayi Du, Keqin Li PDF

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By Kenli Li, Zheng Xiao, Yan Wang, Jiayi Du, Keqin Li

This publication constitutes the refereed complaints of the twenty fifth overseas convention on Parallel Computational Fluid Dynamics, ParCFD 2013, held in Changsha, China, in might 2013. The 35 revised complete papers provided have been conscientiously reviewed and chosen from greater than 240 submissions. The papers deal with concerns resembling parallel algorithms, advancements in software program instruments and environments, unstructured adaptive mesh functions, business purposes, atmospheric and oceanic international simulation, interdisciplinary purposes and overview of machine architectures and software program environments.

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Read or Download Parallel Computational Fluid Dynamics: 25th International Conference, ParCFD 2013, Changsha, China, May 20-24, 2013. Revised Selected Papers PDF

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Additional info for Parallel Computational Fluid Dynamics: 25th International Conference, ParCFD 2013, Changsha, China, May 20-24, 2013. Revised Selected Papers

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6. Comparison of experiment (left) and computed density contours (right) at t = 674μs in shock-bubble interaction problem Table 1. 71 Table 2. 25% Acknowledgments. This work is supported by Natural Science Foundation of China (91130019) and 863 programme (2012AA01A304). References 1. : A two-phase mixture theory for the deflagration-todetonation transition (ddt) in reactive granular materials. International Journal of Multiphase Flow 12, 861–889 (1986) 2. : A multiphase godunov method for compressible multifluid and multiphase flows.

2 Double Ellipsoid The double-ellipsoid model is tested in FD-07 wind tunnel of China Academy of Aerospace Aerodynamics. 0K The computational grids are shown in Fig. 8, the initial grid contains 8 blocks, by further division, two grids of 20 and 32 blocks are obtained. Fig. 9 (a) shows that the grid amount of the maximum block is near 8 times of the minimum block, so the load on each CPU has great difference, and there is a lot of idle time in the parallel computation. To solve the problem, further division and task redistribution are carried out.

G. support radius). The parallelization of this method has an additional advantage of further reducing the interpolation time. This part has been parallelized with OpenMP, which can be carried out without difficulty and effectively. This method has been successfully applied to perform static computational aeroelastic analysis for three different aerodynamic configurations. The results obtained are in acceptable agreement with the available experimental and previously predicted results. Acknowledgments.

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