Physical Model of Landslide‐Generated Impulse Waves: Experimental Investigation of the Wave‐Granular Flow Coupling

Abstract Large amplitude and unexpected waves are a regular source of natural disasters. Among them, impulse waves generated by landslides can represent a significant threat. Therefore, predicting and measuring the generation of such waves is essential. In this study, the phenomenon is modeled by a 2D‐experimental setup using a steady non‐uniform granular flow along a slope as a forcing wave generator. The present device provides a continuous supply of grains to avoid finite volume effects, as the part of the landslide actually involved in the wave generation strongly depends on the configuration and is not necessarily available in geophysical events. This system consists of an energy transfer between the granular flow and the wave generation which is characterized by a Froude number. It is found that the latter cannot be defined only based on the dry flow properties to characterize the wave. In particular, the dynamics underwater influence wave generation during a finite time. Accordingly, the present study shows that the wave maximum amplitude is governed by a newly defined Froude number, based on both dry and underwater granular flow properties. Moreover, it is shown that the granular deposit, specifically its runout, can be thought as a proxy of the immersed granular dynamics as long as the impact properties are still considered.

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Publication Details

Journal
Journal of Geophysical Research Oceans
Published
2024-09-01
DOI
https://doi.org/10.1029/2024jc021145
Citations
11
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
7.81

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article

Physical Model of Landslide‐Generated Impulse Waves: Experimental Investigation of the Wave‐Granular Flow Coupling

Abigaël Darvenne, Laurent Lacaze, Sylvain Viroulet
11 citations
Journal of Geophysical Research Oceans
Landslides and related hazards
7.81
article

Physical Model of Landslide‐Generated Impulse Waves: Experimental Investigation of the Wave‐Granular Flow Coupling

Abigaël Darvenne, Laurent Lacaze, Sylvain Viroulet
article en
11 citations

Abstract

Abstract Large amplitude and unexpected waves are a regular source of natural disasters. Among them, impulse waves generated by landslides can represent a significant threat. Therefore, predicting and measuring the generation of such waves is essential. In this study, the phenomenon is modeled by a 2D‐experimental setup using a steady non‐uniform granular flow along a slope as a forcing wave generator. The present device provides a continuous supply of grains to avoid finite volume effects, as the part of the landslide actually involved in the wave generation strongly depends on the configuration and is not necessarily available in geophysical events. This system consists of an energy transfer between the granular flow and the wave generation which is characterized by a Froude number. It is found that the latter cannot be defined only based on the dry flow properties to characterize the wave. In particular, the dynamics underwater influence wave generation during a finite time. Accordingly, the present study shows that the wave maximum amplitude is governed by a newly defined Froude number, based on both dry and underwater granular flow properties. Moreover, it is shown that the granular deposit, specifically its runout, can be thought as a proxy of the immersed granular dynamics as long as the impact properties are still considered.

Journal of Geophysical Research OceansVol. 129(9)
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Institut National Polytechnique de Toulouse (FR), Institut de Mécanique des Fluides de Toulouse (FR)
Agence Nationale de la Recherche
Climate action
Openalex Percentile: Top 3%
Landslides and related hazards
7.81
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Physical Model of Landslide‐Generated Impulse Waves: Experimental Investigation of the Wave‐Granular Flow Coupling — Abigaël Darvenne, Laurent Lacaze, et al. · Journal of Geophysical Research Oceans (2024) | TGRS Research Map | TGRS