Effects of shear band propagation on early waves generated by initial breakoff of tsunamigenic landslides

Trapper, Pavel A.; Puzrin, Alexander M.; Germanovich, L. N.

doi:10.1016/j.margeo.2015.10.014

Cited by 20 publications

(16 citation statements)

References 44 publications

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“…Because tsunami genesis is tightly linked to landslide acceleration as well as rate of mobilization of the landslide volume (e.g., Løvholt et al, 2005), quantifying the rate and nature of the slope failure is important. Just a few studies discuss the effect of initial failure rate on tsunami generation (e.g., Trapper et al, 2015;Germanovich et al, 2016;Puzrin et al, 2016) and related aspects such as remoulding and cascading failures on the landslide tsunami generation (e.g., Løvholt et al, 2017;Kim et al, 2019;Zengaffinen et al, 2020). How to include these factors and their associated probabilities in PTHA is not resolved.…”

Section: Limited Constraints On Landslide Dynamics and Materials Behavior (L3)mentioning

confidence: 99%

Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

et al. 2021

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Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis methods have been developed and have proved useful. However, large gaps and uncertainties still exist and many steps in the assessment methods lack information, theoretical foundation, or commonly accepted methods. Moreover, applied methods have very different levels of maturity, from already advanced probabilistic tsunami hazard analysis for earthquake sources, to less mature probabilistic risk analysis. In this review we give an overview of the current state of probabilistic tsunami hazard and risk analysis. Identifying research gaps, we offer suggestions for future research directions. An extensive literature list allows for branching into diverse aspects of this scientific approach.

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Section: Limited Constraints On Landslide Dynamics and Materials Behavior (L3)mentioning

confidence: 99%

Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

et al. 2021

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“…Submarine landslides are particularly sensitive to water depth and acceleration, hence not only the landslide dynamics is important, but also the slope failure rate and the mass mobilization rate, including remolding (e.g. [81,[170][171][172][173]). Subaerial landslides may impact the water at high speed, causing a different tsunami generation mechanism compared to submarine slides.…”

Section: Tsunami Generation Modelsmentioning

confidence: 99%

Tsunami risk management for crustal earthquakes and non-seismic sources in Italy

et al. 2021

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Destructive tsunamis are most often generated by large earthquakes occurring at subduction interfaces, but also other “atypical” sources—defined as crustal earthquakes and non-seismic sources altogether—may cause significant tsunami threats. Tsunamis may indeed be generated by different sources, such as earthquakes, submarine or coastal landslides, volcano-related phenomena, and atmospheric perturbations. The consideration of atypical sources is important worldwide, but it is especially prominent in complex tectonic settings such as the Mediterranean, the Caribbean, or the Indonesian archipelago. The recent disasters in Indonesia in 2018, caused by the Palu-Sulawesi magnitude Mw 7.5 crustal earthquake and by the collapse of the Anak-Krakatau volcano, recall the importance of such sources. Dealing with atypical sources represents a scientific, technical, and computational challenge, which depends on the capability of quantifying and managing uncertainty efficiently and of reducing it with accurate physical modelling. Here, we first introduce the general framework in which tsunami threats are treated, and then we review the current status and the expected future development of tsunami hazard quantifications and of the tsunami warning systems in Italy, with a specific focus on the treatment of atypical sources. In Italy, where the memory of historical atypical events like the 1908 Messina earthquake or the relatively recent 2002 Stromboli tsunami is still vivid, specific attention has been indeed dedicated to the progressive development of innovative strategies to deal with such atypical sources. More specifically, we review the (national) hazard analyses and their application for coastal planning, as well as the two operating tsunami warning systems: the national warning system for seismically generated tsunamis (SiAM), whose upstream component—the CAT-INGV—is also a Tsunami Service Provider of the North-eastern Atlantic, the Mediterranean and connected seas Tsunami Warning System (NEAMTWS) coordinated by the Intergovernmental Coordination Group established by the Intergovernmental Oceanographic Commission (IOC) of UNESCO, and the local warning system for tsunamis generated by volcanic slides along the Sciara del Fuoco of Stromboli volcano. Finally, we review the state of knowledge about other potential tsunami sources that may generate significant tsunamis for the Italian coasts, but that are not presently considered in existing tsunami warning systems. This may be considered the first step towards their inclusion in the national tsunami hazard and warning programs.

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“…Further details of the mathematical formulations, the interactions between the Eulerian material and Lagrangian bodies based on the Coupled Eulerian-Lagrangian (CEL) approach and its applications to large deformation static/quasi-static problems (e.g. onshore and offshore landslides, penetration of surface laid pipelines and pile jacking) are available in previous studies (Benson 1992;Benson and Okazawa 2004;Qiu et al 2011;Dey et al 2015Dey et al , 2016cDutta et al 2015;Trapper et al 2015). FE analysis is performed with only one element length in the out-of-plane direction in order to simulate the plane strain condition.…”

Section: Fe Modelingmentioning

confidence: 99%

Large-deformation finite-element modelling of earthquake-induced landslides considering strain-softening behaviour of sensitive clay

et al. 2019

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Large-scale landslides in sensitive clays cannot be explained properly using the traditional limit equilibrium or Lagrangian-based finite-element (FE) methods. In the present study, dynamic FE analysis of sensitive clay slope failures triggered by an earthquake is performed using a large-deformation FE modelling technique. A model for post-peak degradation of undrained shear strength as a function of accumulated plastic shear strain (strain-softening) is implemented in FE analysis. The progressive development of “shear bands” (the zone of high plastic shear strains) that causes the failure of a number of soil blocks is simulated successfully. Failure of a slope could occur during an earthquake and also at the post-quake stage until the failed soil masses come to a new static equilibrium. Upslope retrogression and downslope runout of the failed soil blocks are examined for varying geometries and soil properties. The present FE simulations can explain some of the conditions required for different types of seismic slope failure (e.g., spread, flowslide or monolithic slides) to be triggered, as observed in the field.

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Effects of shear band propagation on early waves generated by initial breakoff of tsunamigenic landslides

Cited by 20 publications

References 44 publications

Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

Tsunami risk management for crustal earthquakes and non-seismic sources in Italy

Large-deformation finite-element modelling of earthquake-induced landslides considering strain-softening behaviour of sensitive clay

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