Simulation of Tsunami Wave Generated by Submarine Slide: Generation, Propagation, Run-Up and Impact

Vo Nguyen Phu Huan; Indra Sati Hamonangan Harahap

doi:10.4028/www.scientific.net/AMM.752-753.1269

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 752-753Simulation of Tsunami Wave Generated by Submarine...

Simulation of Tsunami Wave Generated by Submarine Slide: Generation, Propagation, Run-Up and Impact

Abstract:

Submarine slides can trigger tsunamis with high affecting offshore structures, subsea facilities and human lives along the shoreline. Unfortunately, slide-generated tsunami is a difficult problem due to the source of sliding of mass failure by itself or by the other earthquakes. There are no effective numerical model that could simulate simultaneously all stages of generation, propagation, run-up and impact of tsunami phenomena. Physical understanding of slide tsunami hazards is very poor. We must understand substance of tsunami clearly and how to find methods to reduce damage from tsunami wave. This paper will present a parallel computing based on ParallelSPHysics, it can simulate a comprehensive model of tsunami wave by using Smooth Particle Hydrodynamics method.

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Periodical:

Applied Mechanics and Materials (Volumes 752-753)

Pages:

1269-1274

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.752-753.1269

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Online since:

April 2015

Authors:

Vo Nguyen Phu Huan*, Indra Sati Hamonangan Harahap

Keywords:

Mesh Free Method, Parallel Computing, Submarine Slide, Tsunami

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* - Corresponding Author

References

[1] D.R. Tappin, P. Watts, G.M. McMurtry, Y. Lafoy and T. Matsumoto, The Sissano, Papua New Guinea tsunami of July 1998-offshore evidence on the source mechanism, Marine Geology, 175 (2001) 1-23.

DOI: 10.1016/s0025-3227(01)00131-1

Google Scholar

[2] Y. Kawata et al., Comprehensive analysis of the damage and its impact on coastal zones by the 2004 Indian Ocean tsunami disaster, (2005).

Google Scholar

[3] C. Simmons, K. Valora and M. Trainor, How do landslide cause tsunami, Geol. Natural Harzards. 105 (2010).

Google Scholar

[4] V.N.P. Huan and I.S.H. Harahap, Computational aspects of submarine slide generated tsunami, Appl. Mech. Mater. 567 (2014) 216-221.

DOI: 10.4028/www.scientific.net/amm.567.216

Google Scholar

[5] T. Capone, A. Panizzo and J.J. Monaghan, SPH modelling of water waves generated by submarine landslides, J. Hydraulic Res. 48 (2010) 80-84.

DOI: 10.1080/00221686.2010.9641248

Google Scholar

[6] B. Ataie-Ashtiani and G. Shobeyri, Numerical simulation of landslide impulsive waves by incompressible smoothed particle hydrodynamics, Int. J. Numer. Meth. Fluids. 56 (2008) 209-232.

DOI: 10.1002/fld.1526

Google Scholar

[7] S. Shao, D.I. Graham, C. Ji, D.E. Reeve, P.W. James and A.J. Chadwick, Simulation of wave overtopping by an incompressible SPH model, Coastal Eng. 53 (2009) 723-735.

DOI: 10.1016/j.coastaleng.2006.02.005

Google Scholar

[8] J.M. Cherfils, G. Pinona and E. Rivoalena, A parallel SPH code for free-surface flows, Comput. Phys. Commun. 183 (2012) 1468-1480.

DOI: 10.1016/j.cpc.2012.02.007

Google Scholar

[9] A. Mahantia and D.L. Eagerb, Adaptive data parallel computing on workstation clusters, J. Parallel Distrib. Comput. 64 (2004) 1241-1255.

DOI: 10.1016/j.jpdc.2004.07.005

Google Scholar

[10] A. Migdalas, G. Toraldo and V. Kumar, Nonlinear optimization and parallel computing, Parallel Comput. 29 (2003) 375-391.

DOI: 10.1016/s0167-8191(03)00013-9

Google Scholar

[11] N. Tremblay and M. Florian, Temporal shortest paths: parallel computing implementations, Parallel Comput. 27 (2001) 1569 – 1609.

DOI: 10.1016/s0167-8191(01)00107-7

Google Scholar