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Advances in Hydroinformatics pp 157–167Cite as

Numerical Simulation of Landslide Impulsive Waves by WC-MPS Method

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Abstract

Numerical simulation has been widely used for solving engineering-related problems in the past few decades. Because of the flexibility, efficiency, and compatibility of numerical simulation, it has been involved in various engineering and science areas. This approach is capable of interpreting the natural phenomena, and also offering an alternative way of theoretical studies and experiments. In this study, the weakly compressible moving particle semi-implicit (WC-MPS) method is applied to simulate the impulse waves generated by landslide. During this study, the complete theory of the WC-MPS model was applied/adopted. The model was modified to simulate the impulse wave for the different landslide cases. This study includes the simulations for the submerged and un-submerged landslide cases, the introduction of deformable and solid sliding blocks, and also the first-hand comparison between WC-MPS simulation and experiments. After comparing WC-MPS simulation with experimental results for different cases, the applicability of WC-MPS method in simulating the impulse wave generated from landslide is confirmed at the end of this study.

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Acknowledgements

This research was supported in part by the Natural Sciences and Engineering Research Council of Canada.

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Authors and Affiliations

  1. Faculty of Engineering and Applied Science, University of Regina, S4S0A2, Regina, SK, Canada

    Kun Guo & Yee-chung Jin

Authors
  1. Kun Guo
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  2. Yee-chung Jin
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Corresponding author

Correspondence to Kun Guo .

Editor information

Editors and Affiliations

  1. Polytech Lab / Polytech Nice Sophia, University Nice Sophia Antipolis, Sophia Antipolis, France

    Philippe Gourbesville

  2. Société Hydrotechnique de France, Paris, France

    Jean Cunge

  3. Société Hydrotechnique de France, Paris, France

    Guy Caignaert

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Guo, K., Jin, Yc. (2018). Numerical Simulation of Landslide Impulsive Waves by WC-MPS Method. In: Gourbesville, P., Cunge, J., Caignaert, G. (eds) Advances in Hydroinformatics . Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-10-7218-5_11

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