Abstract
The Smoothed Particle Hydrodynamics model has been widely used in geotechnical engineering for the research of flow-like landslide, flowing liquefied soil and dike or slope failure. However, the efficiency is still an issue when the simulation has a large number of particles and only a few research focused on the parallel optimization of the water-soil-coupled SPH model. In this study, an SPH model considering the water-soil coupling was proposed based on the basic principle of SPH method, Drucker-Prager model, and mixture theory of porous media. The OpenMP, as a widely used parallelling framework, was adopted to accomplish the parallel implementation and improve the efficiency. Besides, an improved particle searching method, compatible with the OpenMP parallel optimization, has been proposed. Using the proposed SPH model, the effect of different permeability on the seepage failure of dike was simulated. Meanwhile, by comparing the time consumptions of different numbers of CPU thread, it has been proven that the parallel implementation can greatly reduce the time-consumption.
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Acknowledgements
This work is supported by the National Key Research and Development Program of China (grant No. 2016YFC0800205); National Natural Science Foundation of China (NSFC grant No. 41630638); Natural Science Foundation of Jiangsu Province (grant No. BK20170887); the Fundamental Research Funds for the Central Universities (grant No. 2015B25914) and China Postdoctoral Science Foundation.
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Zhang, W., Gao, Y., Maeda, K. (2018). A Parallelized Water-Soil-Coupled SPH Model Considering the Effect of Permeability and Its Application in the Piping Simulation of Dike. In: Hu, L., Gu, X., Tao, J., Zhou, A. (eds) Proceedings of GeoShanghai 2018 International Conference: Multi-physics Processes in Soil Mechanics and Advances in Geotechnical Testing. GSIC 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-0095-0_33
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DOI: https://doi.org/10.1007/978-981-13-0095-0_33
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