Calibration of restitution coefficients using rockfall simulations based on 3D photogrammetry model: a case study
Dong Kim (),
Ivan Gratchev,
Jeroen Berends and
Arumugam Balasubramaniam
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, vol. 78, issue 3, 1946 pages
Abstract:
This paper presents a case study of an excavated rock slope to assess the coefficients of restitution using the results from field rockfall tests and corresponding rockfall simulations based on 3D photogrammetric slope surface models. The results from the field rockfall tests showed that rockfall trajectories were controlled by the orientations of joints at the initial point of the rockfalls. The lateral dispersion ratio (D H /L) of the trajectories was influenced by the shape index (γ) of falling rocks as well. The directions of rockfall trajectories, which were obtained from the 3D simulation based on the 3D photogrammetric surface models, were in agreement with the field rockfall tests. Throughout 2D analysis, which was performed using predefined trajectories from the 3D simulations, the coefficients of restitution were successfully calibrated using elapsed times and distances obtained from the field rockfall tests. Based on the accurate 3D photogrammetric slope model, the back-calculated coefficients of restitution from the 3D and 2D simulations combined with field rockfall tests provided consistent results between the numerical analyses and the field experimental data. Copyright Springer Science+Business Media Dordrecht 2015
Keywords: Rockfall simulation; Restitution coefficient; Photogrammetry; Rock shape index (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s11069-015-1811-x (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:78:y:2015:i:3:p:1931-1946
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069
DOI: 10.1007/s11069-015-1811-x
Access Statistics for this article
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk
More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().