Inter-Model Comparison for Tsunami Debris Simulation.

Takabatake, Tomoyuki; Stolle, Jacob ORCID: https://orcid.org/0000-0003-0902-9339; Hiraishi, Koji; Kihara, Naoto; Nojima, Kazuya; Shigihara, Yoshinori; Arikawa, Taro et Nistor, Ioan (2021). Inter-Model Comparison for Tsunami Debris Simulation. Journal of Disaster Research , vol. 16 , nº 7. pp. 1030-1044. DOI: 10.20965/jdr.2021.p1030.

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Résumé

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.

Type de document:	Article
Mots-clés libres:	tsunami; debris; numerical modelling; inter-model comparison; Hackathon
Centre:	Centre Eau Terre Environnement
Date de dépôt:	09 févr. 2022 15:33
Dernière modification:	16 févr. 2022 15:18
URI:	https://espace.inrs.ca/id/eprint/12208

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