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 repres...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Soils and Foundations |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0038080624001094 |
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| author | T. Yoshida R. Nomura Y. Tuda I. Yoshida K. Terada S. Moriguchi |
| author_facet | T. Yoshida R. Nomura Y. Tuda I. Yoshida K. Terada S. Moriguchi |
| author_sort | T. Yoshida |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cdec6920ced24e8bafd972b086db0dd8 |
| institution | DOAJ |
| issn | 2524-1788 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Soils and Foundations |
| spelling | doaj-art-cdec6920ced24e8bafd972b086db0dd82025-08-20T02:49:08ZengElsevierSoils and Foundations2524-17882024-12-0164610153110.1016/j.sandf.2024.101531Modeling effect of rock shape characteristics on run-out distribution of rockfallsT. Yoshida0R. Nomura1Y. Tuda2I. Yoshida3K. Terada4S. Moriguchi5Department of Civil and Environmental Engineering, Tohoku University, Aramaki Aza-Aoba 468-1, Aoba-ku, Sendai 980-8572, JapanInternational Research Institute of Disaster Science, Tohoku University, Aramaki Aza-Aoba 468-1, Aoba-ku, Sendai 980-8572, JapanDepartment of Urban and Civil Engineering, Tokyo City University, Tamazutsumi 1-28-1, Setagaya-ku, Tokyo 158-8557, JapanDepartment of Urban and Civil Engineering, Tokyo City University, Tamazutsumi 1-28-1, Setagaya-ku, Tokyo 158-8557, JapanInternational Research Institute of Disaster Science, Tohoku University, Aramaki Aza-Aoba 468-1, Aoba-ku, Sendai 980-8572, JapanInternational Research Institute of Disaster Science, Tohoku University, Aramaki Aza-Aoba 468-1, Aoba-ku, Sendai 980-8572, Japan; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S0038080624001094RockfallRun-out distributionDEMSphericityRegression model |
| spellingShingle | T. Yoshida R. Nomura Y. Tuda I. Yoshida K. Terada S. Moriguchi Modeling effect of rock shape characteristics on run-out distribution of rockfalls Soils and Foundations Rockfall Run-out distribution DEM Sphericity Regression model |
| title | Modeling effect of rock shape characteristics on run-out distribution of rockfalls |
| title_full | Modeling effect of rock shape characteristics on run-out distribution of rockfalls |
| title_fullStr | Modeling effect of rock shape characteristics on run-out distribution of rockfalls |
| title_full_unstemmed | Modeling effect of rock shape characteristics on run-out distribution of rockfalls |
| title_short | Modeling effect of rock shape characteristics on run-out distribution of rockfalls |
| title_sort | modeling effect of rock shape characteristics on run out distribution of rockfalls |
| topic | Rockfall Run-out distribution DEM Sphericity Regression model |
| url | http://www.sciencedirect.com/science/article/pii/S0038080624001094 |
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