A 3D numerical study on tsunamis ascending a river

Kakinuma, Taro; Kusuhara, Yoshimi

doi:10.1080/21664250.2021.2015199

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…This amplitude mismatch implies that the OSGW amplitude in the inner part of the Isfjord is smaller than the wave in the deeper water in the outer part. According to Kakinuma and Kusuhara (2022), the amplitudes of ocean-surface waves depend on not only the water depth but also the width of the water channel (lateral). Because the width of the Isfjord mostly increases from the outer to the inner parts (from West to East), the OSGW amplitude in the inner part near Longyearbyen tends to be lower than the OSGW amplitude in the outer part.…”

Section: Loading Pressure Responsesmentioning

confidence: 99%

Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway

et al. 2023

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Distributed acoustic sensing (DAS) leverages an ocean-bottom telecommunication fiber-optic cable into a densely sampled array of strain sensors. We demonstrate DAS applications to passive acoustic monitoring (PAM) through an experiment on a submarine fiber-optic cable in Longyearbyen, Svalbard, Norway. We show that DAS can measure many types of signals in the frequency range from 0.01 to 20 Hz generated by dynamics in the atmosphere, ocean, and solid earth. These include ocean-bottom loading pressure fluctuation of ocean surface waves generated by storms, winds and airflow turbulence, shear-wave resonances in low-velocity near-surface sediments, acoustic resonances in the water column, and propagating seismic waves. We show that DAS can record high-quality, low-frequency seismo-acoustic waves down to 0.01 Hz, which could be used for subsurface exploration. Using the shear-wave resonances recorded by DAS, we can determine the subsurface structure of near-surface sediments with low velocity. In addition, we can trace ocean swells back to their origins of distant storms as far as 13,000 km away from the cable. Because DAS is capable of seismo-acoustic monitoring with high spatial resolution of ~ 1 m over the cable of ~ 100 km long and with a broadband sensitivity down to 0.01 Hz on the low end, it can deliver great scientific value to ocean observation and geophysics community.

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Section: Loading Pressure Responsesmentioning

confidence: 99%

Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway

et al. 2023

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Numerical investigation of solitary wave attenuation and mitigation caused by vegetation using OpenFOAM

Zhang

2023

Coastal Engineering Journal

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A Multiscale Model to Assess Bridge Vulnerability Under Extreme Wave Loading

De Maio,

Greco,

Lonetti

et al. 2024

JMSE

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A multiscale model is proposed to assess the impact of wave loading on coastal or inland bridges. The formulation integrates various scales to examine the effects of flooding actions on fluid and structural systems, transitioning from global to local representation scales. The fluid flow was modeled using a turbulent two-phase level set formulation, while the structural system employed the 3D solid mechanics theory. Coupling between subsystems was addressed through an FSI formulation using the ALE moving mesh methodology. The proposed model’s validity was confirmed through comparisons with numerical and experimental data from the literature. A parametric study was conducted on wave load characteristics associated with typical flood or tsunami scenarios. This included verifying the wave load formulas from existing codes or refined formulations found in the literature, along with assessing the dynamic amplification’s effects on key bridge design variables and the worst loading cases involving bridge uplift and horizontal forces comparable to those typically used in seismic actions. Furthermore, a parametric study was undertaken to examine fluid flow and bridge characteristics, such as bridge elevation, speed, inundation ratio, and bearing system typology. The proposed study aims to identify the worst-case scenarios for bridge deck vulnerability.

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A 3D numerical study on tsunamis ascending a river

Cited by 3 publications

References 11 publications

Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway

Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway

Numerical investigation of solitary wave attenuation and mitigation caused by vegetation using OpenFOAM

A Multiscale Model to Assess Bridge Vulnerability Under Extreme Wave Loading

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