Abstract
With the continuous development of computer science and technology, the computational ability of computer has been improved a lot. The particle method based on Lagrangian has become a hot spot in water modeling. In this paper, we first implement a standard multiple-fluid mixing framework based on adaptive hierarchical tree-based neighborhood particle search algorithm and simple boundary correction algorithm. On this basis, the gas-liquid mixing mode is expanded, including soluble gas and insoluble gas. We conducted a series of experiments on the computer to verify the effectiveness of the hybrid method.
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Acknowledgement
This work is supported by the National 863 Program of China under Grant No. 2015AA016403. And the improved shallow water system and all technologies involved are courtesy of the State key Laboratory of Virtual Reality Technology and Systems, Beihang University. We also thank everyone who spent time reading earlier versions of this paper.
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Ai, M., Zheng, A., Li, F. (2018). Research on Gas-Liquid Mixing Method Based on SPH. In: Wang, Y., Jiang, Z., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2018. Communications in Computer and Information Science, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-13-1702-6_12
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DOI: https://doi.org/10.1007/978-981-13-1702-6_12
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