Development of Tsunami Numerical Model Considering Generation and Various Transport Form of the Disaster Debris

Kozono, Yuji; Takahashi, Tomoyuki; Sakuraba, Minoru; Nojima, Kumie

doi:10.2208/kaigan.72.i_439

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…The relationships between each of these parameters and NDT are difficult to interpret systematically and there are no clear trends; these are features of a complex system. The practical evaluation model for debris accumulation, developed by Imai et al [12], consists of two independent evaluation models, one for P db and the other for NDT.…”

Section: Practical Methods For Evaluating Tsunami Debris Accumulation and Thicknessmentioning

confidence: 99%

“…In addition, there are some studies on the observation [9] and numerical analysis [10] of the behavior of tsunami debris in the sea after the 2011, off the coast of Tohoku earthquake; however, there are not so many studies on the prediction of the amount of tsunami debris launched on land. Nishino and Imazu [11] and Kozono et al [12] have proposed models for predicting the generation and accumulation of tsunami debris. In these models, tsunami-related building destruction and the associated generation of debris are analyzed in relation to tsunami fluid force data obtained by numerical analysis.…”

Section: Introductionmentioning

confidence: 99%

“…To implement predictions of debris accumulation as an additional function in a real-time tsunami inundation prediction system, a huge number of tsunami scenarios must be considered. However, the methods of Nishino and Imazu [11] and Kozono et al [12] are not appropriate for effective use of conventional tsunami inundation data because of high economic and computational costs. A practical evaluation method for estimating the amount and thickness of accumulated debris, that can effectively use the results of inundation computations for multiple tsunami scenarios, would enable efficient prediction of tsunami debris accumulation and evaluation of the tsunami-related fire hazards, which depends on the distribution of accumulations of tsunami debris.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Practical Evaluation Method for Tsunami Debris and Its Accumulation

Imai

Hashimoto²,

Mitobe

et al. 2022

Applied Sciences

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Tsunami-related fires may occur in the inundation area during a huge tsunami disaster, and woody debris produced by the tsunami can cause the fires to spread. To establish a practical method for evaluating tsunami-related fire predictions, we previously developed a method for evaluating the tsunami debris thickness distribution that uses tsunami computation results and static parameters for tsunami numerical analysis. We then used this evaluation method to successfully reproduce the tsunami debris accumulation trend. We then developed an empirical building fragility function that relates the production of debris not only to inundation depth but also to the topographic gradient and the proportion of robust buildings. Using these empirical evaluation models, along with conventional tsunami numerical analysis data, we carried out a practical tsunami debris prediction for Owase City, Mie Prefecture, a potential disaster area for a Nankai Trough mega-earthquake. This prediction analysis method can reveal hazards which go undetected by a conventional tsunami inundation analysis. These results indicate that it is insufficient to characterize the tsunami hazard by inundation area and inundation depth alone when predicting the hazard of a huge tsunami; moreover, more practically, it is necessary to predict the hazard based on the effect of tsunami debris.

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Section: Practical Methods For Evaluating Tsunami Debris Accumulation and Thicknessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of a Practical Evaluation Method for Tsunami Debris and Its Accumulation

Imai

Hashimoto²,

Mitobe

et al. 2022

Applied Sciences

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Verification of Disaster Reduction by Tsunami Prediction Model Considering Collapsed Buildings and Disaster Debris

2019

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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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Development of Tsunami Numerical Model Considering Generation and Various Transport Form of the Disaster Debris

Cited by 6 publications

References 5 publications

Development of a Practical Evaluation Method for Tsunami Debris and Its Accumulation

Development of a Practical Evaluation Method for Tsunami Debris and Its Accumulation

Verification of Disaster Reduction by Tsunami Prediction Model Considering Collapsed Buildings and Disaster Debris

Inter-Model Comparison for Tsunami Debris Simulation

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