Numerical Simulation on Drifting and Submerging Containers driven by Tsunami

Gotoh, Hitoshi; Ikari, Hiroyuki; Shibata, Takayuki; Ogura, Kazumi; Tonomo, Koji; Shikata, Takemi

doi:10.2208/kaigan.66.806

Cited by 4 publications

(1 citation statement)

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“…Thus, it is necessary to give some further consideration on how to predict the location of drifted containers during a severe coastal flooding event. Some numerical simulation models to predict the movement of debris under tsunami flows have been proposed [37][38][39]. Although most of these types of models were validated by comparison with hydraulic physical model tests, a prolonged period of water surface elevation such as tsunami or a storm surge are difficult to accurately reproduce at the experimental scale.…”

Section: Lessons For Japanese Disaster Risk Managementmentioning

confidence: 99%

Field Survey of 2018 Typhoon Jebi in Japan: Lessons for Disaster Risk Management

et al. 2018

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Typhoon Jebi struck Japan on the 4 September 2018, damaging and inundating many coastal areas along Osaka Bay due to the high winds, a storm surge, and wind driven waves. In order to understand the various damage mechanisms, the authors conducted a field survey two days after the typhoon made landfall, measuring inundation heights and depths at several locations in Hyogo Prefecture. The survey results showed that 0.18-1.27 m inundation depths were caused by Typhoon Jebi. As parts of the survey, local residents were interviewed about the flooding, and a questionnaire survey regarding awareness of typhoons and storm surges, and their response to the typhoon was distributed. The authors also mapped the location of some of the containers that were displaced by the storm surge, aiming to provide information to validate future simulation models of container displacement. Finally, some interesting characteristics of the storm surge are summarized, such as possible overtopping at what had initially been thought to be a low risk area (Suzukaze town), and lessons learnt in terms of disaster risk management are discussed.

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Section: Lessons For Japanese Disaster Risk Managementmentioning

confidence: 99%

Field Survey of 2018 Typhoon Jebi in Japan: Lessons for Disaster Risk Management

et al. 2018

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Inter-Model Comparison for Tsunami Debris Simulation

Takabatake¹,

Stolle²,

Hiraishi³

et al. 2021

JDR

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Assessing the risk of tsunami-driven debris has increasingly been recognized as an important design consideration. The recent ASCE/SEI7-16 standard Chapter 6 requires all the areas included within a 22.5° spreading angle from the debris source to consider the debris impact. However, it would be more reasonable to estimate the risks using numerical simulation models. Although a number of simulation models to predict tsunami debris transport have been proposed individually, comparative studies for these simulation models have rarely been conducted. Thus, in the present study, an inter-model comparison for tsunami debris simulation model was performed as a part of the virtual Tsunami Hackathon held in Japan from September 1 to 3 in 2020. The blind benchmarking experiment, which recorded the transport of three container models under a tsunami-like bore, was conducted to generate a unique dataset. Then, four different numerical models were applied to reproduce the experiments. Simulated results demonstrated considerable differences among the simulation models. Essentially, the importance of accurate modelling of a flow field, especially a tsunami front, was confirmed to be important in simulating debris motion. Parametric studies performed in each model and comparisons between different models also confirmed that a drag coefficient and inertia coefficient would influence the simulated debris trajectory and velocity. It was also shown that two-way coupled modelling to express the interaction between debris and a tsunami is important to accurately model the debris motion.

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Mini Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2021

Hayashi

Fujiwara

2021

J. Disaster Res.

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We are very pleased to publish this Mini Special Issue, dedicated to NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2021. Three papers and one survey report are included. Miura et al. indicate the scope of disaster prevention covered by the new courses of study in the field of disaster prevention. By visualizing the contents of classification and analysis, they propose how to handle the scope of disaster prevention in disaster prevention learning in consideration of the comprehensiveness to solve the problems. In the second paper, a case study on flood damage in Hitoyoshi, Kumamoto Prefecture, Mizui and Fujiwara analyze a method of immediately determining the amount of waste disposal work and the number of residents and disaster volunteers required in the event of a disaster. Fujiwara et al. study the feasibility of estimating damage to large-spanned building structures by conducting shake table tests on a small gymnasium model with simulated damage and measuring the natural frequencies and mode shapes. Onoue et al., in a work published as a survey report, present a method for analyzing slope displacement by using the distance image data of a depth camera. They indicate the possibility of detecting minute changes that can precede slope failure. We hope this issue provides information useful to all readers who study natural disasters.

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Numerical Simulation on Drifting and Submerging Containers driven by Tsunami

Cited by 4 publications

References 0 publications

Field Survey of 2018 Typhoon Jebi in Japan: Lessons for Disaster Risk Management

Field Survey of 2018 Typhoon Jebi in Japan: Lessons for Disaster Risk Management

Inter-Model Comparison for Tsunami Debris Simulation

Mini Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2021

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