Author:
Takabatake Tomoyuki,Stolle Jacob,Hiraishi Koji,Kihara Naoto,Nojima Kazuya,Shigihara Yoshinori,Arikawa Taro,Nistor Ioan, , , , , , ,
Abstract
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.
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Fuji Technology Press Ltd.
Subject
Engineering (miscellaneous),Safety, Risk, Reliability and Quality
Reference69 articles.
1. C. E. Synolakis, E. N. Bernard, V. V. Titov, U. Kânoğlu, and F. I. González, “Validation and verification of tsunami numerical models,” Pure Appl. Geophys., Vol.165, pp. 2197-2228, 2008.
2. D. M. Wiebe and D. T. Cox, “Application of fragility curves to estimate building damage and economic loss at a community scale: a case study of Seaside, Oregon,” Nat. Hazards, Vol.71, No.1, pp. 2043-2061, 2014.
3. P. J. Lynett, K. Gately, R. Wilson et al., “Inter-model analysis of tsunami-induced coastal currents,” Ocean Modeling, Vol.114, pp. 14-32, 2017.
4. T. Takabatake, P. St-Germain, I. Nistor, J. Stolle, and T. Shibayama, “Numerical modelling of coastal inundation from Cascadia Subduction Zone tsunamis and implications for coastal communities on western Vancouver Island, Canada,” Nat Hazards, Vol.98, pp. 267-291, 2019.
5. F. Imamura, “Devastating damage due to the 2004 Sumatora Earthquake Tsunami – Lessons for Japan –,” Proc. of Civil Engineering in the Ocean, Vol.21, pp. 31-37, 2005.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献