Modeling effect of rock shape characteristics on run-out distribution of rockfalls

The aim of this study was to analyze and model the effect of rock shapes on the run-out distribution characteristics of rockfalls. To this end, we conducted a parametric study of rockfall simulations using the discrete element method, which is a numerical simulation method capable of directly representing rock shapes. The results indicated a strong correlation between the sphericity of rocks and the run-out distribution characteristics, expressed by two types of sphericity. Furthermore, we developed a regression model that can predict the run-out distribution using these two sphericities and the parameters of the calculation conditions as the explanatory variables. Although there is some room for improvement in terms of the developed regression model, it was confirmed that the relationship between the sphericity of rocks and the run-out distribution characteristics suggests the potential to enhance efficient rockfall risk assessments through numerical analysis.

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Publication Details

Journal
SOILS AND FOUNDATIONS
Published
2024-11-08
DOI
https://doi.org/10.1016/j.sandf.2024.101531
Citations
3
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.13
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article

Modeling effect of rock shape characteristics on run-out distribution of rockfalls

Ryuji Nomura, Y. Tuda, Ikumasa Yoshida, Shuji Moriguchi et al.
3 citations
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Landslides and related hazards
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article

Modeling effect of rock shape characteristics on run-out distribution of rockfalls

Ryuji Nomura, Y. Tuda, Ikumasa Yoshida, Shuji Moriguchi, T. Yoshida, Kazuhiro Terada
article en
3 citations

Abstract

The aim of this study was to analyze and model the effect of rock shapes on the run-out distribution characteristics of rockfalls. To this end, we conducted a parametric study of rockfall simulations using the discrete element method, which is a numerical simulation method capable of directly representing rock shapes. The results indicated a strong correlation between the sphericity of rocks and the run-out distribution characteristics, expressed by two types of sphericity. Furthermore, we developed a regression model that can predict the run-out distribution using these two sphericities and the parameters of the calculation conditions as the explanatory variables. Although there is some room for improvement in terms of the developed regression model, it was confirmed that the relationship between the sphericity of rocks and the run-out distribution characteristics suggests the potential to enhance efficient rockfall risk assessments through numerical analysis.

SOILS AND FOUNDATIONSVol. 64(6)
Tokyo City University (JP), Tohoku University (JP)
Climate action
Openalex Percentile: Top 11%
Landslides and related hazards
2.13
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