Analysis of Rockfalls by Means of a Fractal Fragmentation Model.

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Title: Analysis of Rockfalls by Means of a Fractal Fragmentation Model.
Authors: Ruiz-Carulla, R.1 (AUTHOR) roger.ruiz@upc.edu, Corominas, J.1 (AUTHOR)
Source: Rock Mechanics & Rock Engineering. Mar2020, Vol. 53 Issue 3, p1433-1455. 23p.
Subjects: Fractal analysis, Landslides, Potential energy, Surface area, Rockfall
Abstract: We present the performance of the rockfall fractal fragmentation model (RFFM) developed by Ruiz-Carulla et al. (Landslides 14(3):875–889. doi.org/10.1007/s10346-016-0773-8, 2017) and based on Perfect (Eng Geol 48:185–198, 1997). The RFFM combines disaggregation of the initial rock mass and breakage of the blocks. The model has been upgraded as to meet the mass balance, and to generate both a continuous decreasing and scale variant distribution of fragments volumes. The input of the model may be either a single block or a rock mass characterized by its In situ Block Size Distribution (IBSD). The measured fragment size distributions of seven inventoried rockfall events are used to calibrate the model. The results of the simulations fit well to the measured volume distributions. Our findings indicate that fragmentation is better characterized by the whole volume distribution of fragments generated and the increase of new surface area of the rock fragments. A relation has been observed between the potential energy of the first impact, the new surface area of fragments generated, and the model parameters. Although a greater number of parametric analyses and calibration exercises are required, this relation is proposed as a first approach to model rockfall scenarios. [ABSTRACT FROM AUTHOR]
Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Analysis of Rockfalls by Means of a Fractal Fragmentation Model.
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  Data: <searchLink fieldCode="DE" term="%22Fractal+analysis%22">Fractal analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Landslides%22">Landslides</searchLink><br /><searchLink fieldCode="DE" term="%22Potential+energy%22">Potential energy</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+area%22">Surface area</searchLink><br /><searchLink fieldCode="DE" term="%22Rockfall%22">Rockfall</searchLink>
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  Data: We present the performance of the rockfall fractal fragmentation model (RFFM) developed by Ruiz-Carulla et al. (Landslides 14(3):875–889. doi.org/10.1007/s10346-016-0773-8, 2017) and based on Perfect (Eng Geol 48:185–198, 1997). The RFFM combines disaggregation of the initial rock mass and breakage of the blocks. The model has been upgraded as to meet the mass balance, and to generate both a continuous decreasing and scale variant distribution of fragments volumes. The input of the model may be either a single block or a rock mass characterized by its In situ Block Size Distribution (IBSD). The measured fragment size distributions of seven inventoried rockfall events are used to calibrate the model. The results of the simulations fit well to the measured volume distributions. Our findings indicate that fragmentation is better characterized by the whole volume distribution of fragments generated and the increase of new surface area of the rock fragments. A relation has been observed between the potential energy of the first impact, the new surface area of fragments generated, and the model parameters. Although a greater number of parametric analyses and calibration exercises are required, this relation is proposed as a first approach to model rockfall scenarios. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00603-019-01987-2
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        Type: general
      – SubjectFull: Landslides
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      – SubjectFull: Potential energy
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      – SubjectFull: Surface area
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