Investigation of the Effect of Restitution Coefficient on 3-Dimensional Rockfall Analyses
Due to its geological, geomorphological and climatic characteristics, Türkiye frequently experiences natural disasters, among which rockfalls pose significant risks, causing considerable loss of life and property in many regions of the country. In rockfall modeling studies, the normal restitution co...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Artvin Coruh University
2025-01-01
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| Series: | Doğal Afetler ve Çevre Dergisi |
| Subjects: | |
| Online Access: | http://dacd.artvin.edu.tr/tr/download/article-file/4366017 |
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| Summary: | Due to its geological, geomorphological and climatic characteristics, Türkiye frequently experiences natural disasters, among which rockfalls pose significant risks, causing considerable loss of life and property in many regions of the country. In rockfall modeling studies, the normal restitution coefficient (Rn) and tangential restitution coefficient (Rt) are key input parameters that, along with the blocks' kinetic energy and velocity, determine their runout distances. These coefficients govern the energy and velocity losses of a block upon impact with the slope surface, thereby influencing the trajectory and movement dynamics of the block within the model. Restitution coefficients can be derived from field tests (such as block drop tests), back analyses based on the positions of previously fallen blocks in areas where rockfalls have occurred, or from data used in prior scientific studies for regions with similar lithological characteristics when field tests or back analyses cannot be applied. This study examines the effects of terrain restitution coefficients (Rn and Rt), which can be determined using various methods in rockfall modeling analyses, on factors such as runout paths, bounce heights, kinetic energy, and lateral dispersion. Three-dimensional rockfall simulations were conducted using a real digital surface model, and in the analyses, the values of Rn and Rt were varied within specific ranges to observe their impact on the parameters. The results revealed that changes in the values of Rn and Rt caused varying degrees of change across all parameters. Comparative analysis demonstrated that the Rt coefficient had a more pronounced effect on the parameters compared to the Rn coefficient, as supported by datasets and distribution graphs. It was also observed that an increase in the Rt coefficient, especially from values of 0.5 and above, led to significant changes in runout distances and lateral dispersions.
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| ISSN: | 2528-9640 |