Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model

This paper incorporates the Bingham rheology model with the Navier–Stokes solver to simulate the tsunamis excited by a slump-type landslide. The slump is modeled as the Bingham material, in which the rheological properties changing from the un-yield phase to yield phase is taken into account. The vo...

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Main Authors: Thi-Hong-Nhi Vuong, Tso-Ren Wu, Chun-Yu Wang, Chia-Ren Chu
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/19/6872
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author Thi-Hong-Nhi Vuong
Tso-Ren Wu
Chun-Yu Wang
Chia-Ren Chu
author_facet Thi-Hong-Nhi Vuong
Tso-Ren Wu
Chun-Yu Wang
Chia-Ren Chu
author_sort Thi-Hong-Nhi Vuong
collection DOAJ
description This paper incorporates the Bingham rheology model with the Navier–Stokes solver to simulate the tsunamis excited by a slump-type landslide. The slump is modeled as the Bingham material, in which the rheological properties changing from the un-yield phase to yield phase is taken into account. The volume of fluid method is used to track the interfaces between three materials: air, water, and slump. The developed model is validated by the laboratory data of the benchmark landslide tsunami problem. A series of rheological properties analyses is performed to identify the parameter sensitivity to the tsunami generation. The results show that the yield stress plays a more important role than the yield viscosity in terms of the slump kinematics and tsunami generation. Moreover, the scale effect is investigated under the criterion of Froude number similarity and Bingham number similarity. With the same Froude number and Bingham number, the result from the laboratory scale can be applied to the field scale. If the slump material collected in the field is used in the laboratory experiments, only the result of the maximum wave height can be used, and significant errors in slump shape and moving speed are expected.
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spelling doaj.art-9443767305514ad0abd49f599edad8dc2023-11-20T15:40:14ZengMDPI AGApplied Sciences2076-34172020-09-011019687210.3390/app10196872Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide ModelThi-Hong-Nhi Vuong0Tso-Ren Wu1Chun-Yu Wang2Chia-Ren Chu3Graduate Institute of Hydrological and Oceanic Sciences, National Central University, Taoyuan City 32001, TaiwanGraduate Institute of Hydrological and Oceanic Sciences, National Central University, Taoyuan City 32001, TaiwanDepartment of Civil Engineering, National Central University, Taoyuan City 32001, TaiwanDepartment of Civil Engineering, National Central University, Taoyuan City 32001, TaiwanThis paper incorporates the Bingham rheology model with the Navier–Stokes solver to simulate the tsunamis excited by a slump-type landslide. The slump is modeled as the Bingham material, in which the rheological properties changing from the un-yield phase to yield phase is taken into account. The volume of fluid method is used to track the interfaces between three materials: air, water, and slump. The developed model is validated by the laboratory data of the benchmark landslide tsunami problem. A series of rheological properties analyses is performed to identify the parameter sensitivity to the tsunami generation. The results show that the yield stress plays a more important role than the yield viscosity in terms of the slump kinematics and tsunami generation. Moreover, the scale effect is investigated under the criterion of Froude number similarity and Bingham number similarity. With the same Froude number and Bingham number, the result from the laboratory scale can be applied to the field scale. If the slump material collected in the field is used in the laboratory experiments, only the result of the maximum wave height can be used, and significant errors in slump shape and moving speed are expected.https://www.mdpi.com/2076-3417/10/19/6872landslide tsunamisslumps tsunamiscale effectBingham number similarityFroude number similaritydimensional analysis
spellingShingle Thi-Hong-Nhi Vuong
Tso-Ren Wu
Chun-Yu Wang
Chia-Ren Chu
Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model
Applied Sciences
landslide tsunamis
slumps tsunami
scale effect
Bingham number similarity
Froude number similarity
dimensional analysis
title Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model
title_full Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model
title_fullStr Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model
title_full_unstemmed Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model
title_short Modeling the Slump-Type Landslide Tsunamis Part II: Numerical Simulation of Tsunamis with Bingham Landslide Model
title_sort modeling the slump type landslide tsunamis part ii numerical simulation of tsunamis with bingham landslide model
topic landslide tsunamis
slumps tsunami
scale effect
Bingham number similarity
Froude number similarity
dimensional analysis
url https://www.mdpi.com/2076-3417/10/19/6872
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