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Title
Japanese:離散要素法を用いた粒状体の流動解析に及ぼす解析パラメータの寄与率の定量化 
English: 
Author
Japanese: 森口 周二, 奥山 大輝, 寺田 賢二郎, 大竹 雄, 青木 尊之.  
English: Shuji Moriguchi, 奥山 大輝, 寺田 賢二郎, Yusuke Otake, TAKAYUKI AOKI.  
Language Japanese 
Journal/Book name
Japanese:土木学会論文集A2（応用力学） 
English: 
Volume, Number, Page 76 巻 (2020)    2号    p. I369-I377
Published date Feb. 1, 2021 
Publisher
Japanese: 
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Conference name
Japanese: 
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Conference site
Japanese: 
English: 
Official URL https://www.jstage.jst.go.jp/article/jscejam/76/2/76_I_369/_article/-char/ja
 
DOI https://doi.org/10.2208/jscejam.76.2_I_369
Abstract This study aims to quantify the contribution of input parameters in granular flow simulations using DEM. A granular flow simulation with simple condition is performed using DEM under the different combination of the input parameters. Indexes that related to the traveling distance are defined, and surro-gate models of the DEM simulation are built with the help of the radial basis function interpolation. The Monte Carlo Simulation is then carried out with quantified contribution rate of the input parameters. Ac-cording to the results, the basal friction is the most important parameter, but the restitution coefficient strongly contributes characteristic of the front part. It was also found that the spring codfficient and fric-tion angle between elements don’t have strong contribution.

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