Validation of Debris Model for Container Drifting in Tsunami Backwash Considering Bottom Friction Effect

Kurahara, Yoshinosuke; Takeda, Masahide; Takagawa, Tomohiro; Chida, Yu

doi:10.2208/jscejoe.76.2_i_959

J. JSCE Ser. B3

2020

DOI: 10.2208/jscejoe.76.2_i_959

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Validation of Debris Model for Container Drifting in Tsunami Backwash Considering Bottom Friction Effect

Yoshinosuke Kurahara¹,

Masahide Takeda²,

Tomohiro Takagawa³

et al.

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Cited by 3 publications

References 5 publications

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Simulation of the Full‐Process Dynamics of Floating Vehicles Driven by Flash Floods

Xiong,

Liang,

Zheng

et al. 2024

Water Resources Research

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Flash flooding has become more prominent under climate change, threatening people's life and property. Post‐event investigations of recent events emphasize the role of floating debris, such as vehicles, in exacerbating damage. Few modeling methods and tools have been developed to simulate the full‐process dynamics of floating debris driven by large‐scale flood waves in real world. In this work, a fully coupled model is developed for simulating the full‐process interactive movements of vehicles driven by flash flood hydrodynamics, from entrainment, transport to deposition. The proposed coupled modeling system consists of a finite volume shock‐capturing hydrodynamic model solving the 2D shallow water equations and a 3D discrete element method (DEM) model. The proposed two‐way coupling approach estimates the hydrostatic and hydrodynamic forces acting on solid objects using the water depth and velocity predicted by the hydrodynamic model; the resulting counter forces on the fluid flow are then considered by adding extra source terms in the hydrodynamic model. A multi‐sphere method is further embedded in the DEM model to better represent vehicle shapes. New calculation modules are further implemented to represent the vehicle entrainment, contact and stopping motions. The coupled model is applied to reproduce a flash flood event hit Boscastle in the UK in 2004. Over 100 vehicles were moved and carried downstream by the highly transient flood flow. The model well predicts the hydrodynamics, interactive transport process and the final locations of vehicles. The proposed coupled model provides a new tool for simulating large‐scale flash flooding processes, including debris dynamics.

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Simulation of the Full‐Process Dynamics of Floating Vehicles Driven by Flash Floods

Xiong,

Liang,

Zheng

et al. 2024

Water Resources Research

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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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Validation of Debris Model for Container Drifting in Tsunami Backwash Considering Bottom Friction Effect

Cited by 3 publications

References 5 publications

Simulation of the Full‐Process Dynamics of Floating Vehicles Driven by Flash Floods

Simulation of the Full‐Process Dynamics of Floating Vehicles Driven by Flash Floods

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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