Non-Hydrostatic Modeling of Waves Generated by Landslides with Different Mobility

Mulligan, Ryan P.; Take, W. Andy; Bullard, Gemma

doi:10.3390/jmse7080266

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…Heller [12] predicted the wave type directly by the diagram from the experiment, which was conducted by a prismatic wave channel. Mulligan [13] investigated the influence of slide mobility on wave generation by an experiment in a 33.0 m long and 2.1 m wide horizontal wave flume. Tan [14] studied the overall spatial distribution pattern of the maximum wave pressure by a generalized experimental model.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Distribution Characteristics of Landslide Surge Based on Large-Scale Physical Modeling Experiment

Zhang,

Huang,

Chen

et al. 2024

Applied Sciences

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Surge is a common secondary disaster caused by reservoir landslides. The study of its spatial and temporal distribution characteristics is important since it affects not only the normal operation of reservoirs but also the safety of people residing along the river. This paper presents a large-scale three-dimensional physical modeling experiment using a near-dam high-position landslide project as a prototype. It investigated the relationships between the river course characteristics, the landslide volume, the head wave velocity of the landslide surge, the waveform of surges, and the head wave crest of the wave along the course in depth. The results indicate that the head wave velocity of the landslide surge is basically unchanged during the propagation process, and it is minimally affected by the landslide volume. The waveform distribution characteristics and head wave crests change considerably in the diversion area and the curved areas but remain mostly unchanged in the topographic similarity area. In addition, there is a negative correlation between the head wave crest and the cross-sectional area of the river course. Furthermore, under conditions of a large landslide volume, the influence of the cross-sectional area of the river channel on the wave height of landslide surges becomes more significant. Finally, the maximum wave height along the course may not necessarily occur in the head wave crest; it could occur in the second wave or even the subsequent ones.

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Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Distribution Characteristics of Landslide Surge Based on Large-Scale Physical Modeling Experiment

Zhang,

Huang,

Chen

et al. 2024

Applied Sciences

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“…Numerical models are useful tools for simulating impact wave transformation and propagation; however, the landslide boundary conditions must be known. For example, phase‐resolving wave models can accurately simulate tsunami propagation, but the landslide motion must be prescribed by a function (e.g., Lynett & Liu, 2005), or the incident wave must be input from measurements (e.g., Mulligan et al, 2019; Ruffini et al, 2019). This type of multi‐stage approach, where several different uncoupled methods are used together, is the current state of practice.…”

Section: Introductionmentioning

confidence: 99%

Simulations of Landslide Wave Generation and Propagation Using the Particle Finite Element Method

et al. 2020

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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.

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“…This book gathers 16 selected papers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] from the conference, attempting to cover, as completely as possible, all the topics presented during Coastalb18. The papers have been accepted after a peer-review process based on their full text.…”

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confidence: 99%

Selected Papers from Coastlab18 Conference

Lara

Maza

2020

JMSE

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Non-Hydrostatic Modeling of Waves Generated by Landslides with Different Mobility

Cited by 4 publications

References 17 publications

Spatial and Temporal Distribution Characteristics of Landslide Surge Based on Large-Scale Physical Modeling Experiment

Spatial and Temporal Distribution Characteristics of Landslide Surge Based on Large-Scale Physical Modeling Experiment

Simulations of Landslide Wave Generation and Propagation Using the Particle Finite Element Method

Selected Papers from Coastlab18 Conference

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