Item: The Effect of Particle Size on the Accuracy of MPS in Simulation of Avalanche
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Title: The Effect of Particle Size on the Accuracy of MPS in Simulation of Avalanche
Proceedings: International Snow Science Workshop 2014 Proceedings, Banff, Canada
Authors:
- Eriko Kakegawa [ Hydraulic Research Lab., Graduate School of Engineering, Hokkaido University, Sapporo, Japan ]
- Yasuyuki Shimizu [ Hydraulic Research Lab., Graduate School of Engineering, Hokkaido University, Sapporo, Japan ]
- Ichiro Kimura [ Hydraulic Research Lab., Graduate School of Engineering, Hokkaido University, Sapporo, Japan ]
- Yoshihiko Saito [ Yukiken Snow Eaters Co., Ltd., Sapporo, Hokkaido, Japanv ]
- Evgeny Isenko [ Yukiken Snow Eaters Co., Ltd., Sapporo, Hokkaido, Japanv ]
Date: 2014-09-29
Abstract: This study presents a comparison between snow avalanches with different particle sizes along with avalanche breaking structures using MPS (Moving Particle Semi-implicit) method. MPS is a powerful tool to simulate flow phenomena with large scale surface deformations. Although various experiments related to snow sliding have been already conducted, the effect of particle size on the accuracy of simulations has yet to be defined. The size of particles may affect the replication of other related phenomena, such as the energy dissipation of retarding structures, therefore it is significant to clarify this effect. The computational results, using MPS method, were compared with experimental results and observed data based on sand avalanching including energy dissipater structures. The model tests were conducted with several patterns of dissipaters (with and without wooden piles). This new approach is expected to improve the reproducibility of further avalanche control on the actual site, and bring improvements in simulations that could lead to benefits in safety, such as prevention, retardation and catchment of avalanches in an economical manner .
Object ID: ISSW14_paper_P2.15.pdf
Language of Article: English
Presenter(s):
Keywords: Snow Avalanche, Moving Particle Semi-implicit (MPS) method, Numerical simulation
Page Number(s): 740-744
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