Simulations of Landslide Wave Generation and Propagation Using the Particle Finite Element Method
| dc.contributor.author | Mulligan, Ryan P. | |
| dc.contributor.author | Franci, A. | |
| dc.contributor.author | Celigueta, M. A. | |
| dc.contributor.author | Take, W. Andy | |
| dc.date.accessioned | 2023-11-13T21:03:01Z | |
| dc.date.available | 2023-11-13T21:03:01Z | |
| dc.date.issued | 2020-06-03 | |
| dc.description | This is the publisher's version of record, ©2020 by American Geophysical Union, All Rights Reserved. Also available at the publisher's site at https://doi.org/10.1029/2019JC015873. | |
| dc.description.abstract | In this study, the impulse waves generated by highly mobile slides in large-scale flume experiments are reproduced numerically with the Particle Finite Element Method (PFEM). The numerical technique combines a Lagrangian finite element solution with an efficient remeshing algorithm and is capable of accurately tracking the evolving fluid free-surface and velocity distribution in highly unsteady flows. The slide material is water, which represents an avalanche or debris flow with high mobility, and the reservoir depth is varied, thereby achieving a range of different near-field wave conditions from breaking waves to near-solitary waves. In situ experimental observations of fluid velocity and water surface levels are obtained using high-speed digital cameras, acoustic sensors, and capacitance wave probes, and the data are used to analyze the accuracy of the PFEM predictions. The two-dimensional numerical model shows the capability of holistically reproducing the entire problem from landslide motion, to impact with water, to wave generation, propagation, and runup. Very good agreement with the experimental observations are obtained, in terms of landslide velocity and thickness, wave time series, maximum wave amplitude, wave speed, and wave shape. In a broad perspective, the results demonstrate the potential of this numerical method for predicting outcomes of interacting multi-hazard scenarios, such as landslides triggered by loss of slope stability and the generation of tsunami. | |
| dc.identifier.citation | Mulligan, R. P., Franci, A., Celigueta, M. A., & Take, W. A. (2020). Simulations of landslide wave generation and propagation using the Particle Finite Element Method. Journal of Geophysical Research: Oceans, 125, e2019JC015873. https://doi.org/10.1029/2019JC015873 | |
| dc.identifier.doi | https://doi.org/10.1029/2019JC015873 | |
| dc.identifier.uri | https://hdl.handle.net/1974/32525 | |
| dc.language.iso | en | |
| dc.publisher | Wiley | |
| dc.relation | Discovery Grants Program | |
| dc.relation | Post-Doctoral grants | |
| dc.relation | Project PRECISE | |
| dc.title | Simulations of Landslide Wave Generation and Propagation Using the Particle Finite Element Method | |
| dc.type | journal article | |
| oaire.awardNumber | RGPIN/04043-2018 | |
| oaire.awardNumber | RGPIN/04245-2015 | |
| oaire.awardNumber | Grant Number 2017-AXA-PDOC1-099 | |
| oaire.awardNumber | BIA2017-83805-R | |
| project.funder.identifier | http://dx.doi.org/10.13039/501100000038 | |
| project.funder.identifier | http://dx.doi.org/10.13039/501100001961 | |
| project.funder.identifier | http://dx.doi.org/10.13039/501100003329 | |
| project.funder.name | Natural Sciences and Engineering Research Council of Canada | |
| project.funder.name | AXA Research Fund (AXA) | |
| project.funder.name | Spanish Ministry of Economy and Competitiveness [MINECO]) |