Modelling of tsunami-like wave run-up, breaking and impact on a vertical wall by SPH method

Dao, My Ha; Xu, Haihua; Chan, Eng Soon; Tkalich, Pavel

doi:10.5194/nhess-13-3457-2013

Cited by 19 publications

(14 citation statements)

References 29 publications

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“…A similar study using the TUNAMI N2 has been done on Andaman-Sumatra subduction zone [12]. [13] has shown the impacts of 2011 Tohoku tsunami on nuclear power plants using this code. Hence, this method is compatible for the other similar tsunami impacts on nuclear power plants.…”

Section: Methodsmentioning

confidence: 90%

Tsunami Impacts on Nuclear Power Plants along Western Coast of India Due to a Great Makran Earthquake: A Numerical Simulation Approach

Zuhair¹,

Alam²

2017

IJG

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The major seismicity source in the northern Arabian Sea is the Makran Subduction Zone (MSZ) that defines the tectonic boundary between the Arabian plate and the Eurasian plate, located offshore Iran and Pakistan over which an instrumentally registered earthquake (M w 8.1) generated a tsunami on 27 November, 1945. It has caused severe cataclysm to a vulnerable population along the surrounding coastlines, including India. It has been on a long seismic quiescence since this last event. The population and industrialization have exponentially increased along the coastal areas in last half decade. The highly exposed coastal locations to the tsunamis are the areas where the nuclear power plants are located. In the present work, a numerical simulation of a great tsunamigenic earthquake (M 9) is presented that predicts the generation, propagation, run-up and travel time using TUNAMI N2 for estimating tsunami impacts along the nuclear power plants of the western coast of India. TUNAMI N2 code was designed for shallow water wave equations, which uses the finite-difference method based on staggered-leap frog scheme. Thus, it has potential to simulate a far-field tsunami with much more accuracy than other methods. It is observed that the tsunami will strike along the coast of Jaitapur Nuclear Power Plant (Maharashtra), Tarapur Nuclear Power Plant (Maharashtra), Kaiga Nuclear Power Plant (Karnataka) and Mithi-Virdi Nuclear Power Plant (Gujarat) after 210, 215, 225 and 230 minutes, respectively. Results show that the tsunami run-up is highest for Jaitapur coast (2.32 m). The Mithi-Virdi coast is the least effected (0.93 m) while Kaiga (2.15 m) and Ta 1418 International Journal of Geosciences tance in mitigation of the coastal hazard, evacuation planning and installation of early warning system in order to save the inhabited communities from the disaster.

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Section: Methodsmentioning

confidence: 90%

Tsunami Impacts on Nuclear Power Plants along Western Coast of India Due to a Great Makran Earthquake: A Numerical Simulation Approach

Zuhair¹,

Alam²

2017

IJG

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“…As a PSM, smoothed particle hydrodynamics (SPH) is often used for a range of applications including wave breaking, tsunami simulations, etc. [9][10][11][12] because of its robustness in free-surface fluid dynamics. However, PSM programs must be implemented carefully to avoid write-access conflicts under shared-memory parallelization, especially when calculating a resultant force.…”

Section: Introductionmentioning

confidence: 99%

Computational performance of a smoothed particle hydrodynamics simulation for shared-memory parallel computing

Nishiura

Furuichi

Sakaguchi

2015

Computer Physics Communications

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a b s t r a c tThe computational performance of a smoothed particle hydrodynamics (SPH) simulation is investigated for three types of current shared-memory parallel computer devices: many integrated core (MIC) processors, graphics processing units (GPUs), and multi-core CPUs. We are especially interested in efficient shared-memory allocation methods for each chipset, because the efficient data access patterns differ between compute unified device architecture (CUDA) programming for GPUs and OpenMP programming for MIC processors and multi-core CPUs. We first introduce several parallel implementation techniques for the SPH code, and then examine these on our target computer architectures to determine the most effective algorithms for each processor unit. In addition, we evaluate the effective computing performance and power efficiency of the SPH simulation on each architecture, as these are critical metrics for overall performance in a multi-device environment. In our benchmark test, the GPU is found to produce the best arithmetic performance as a standalone device unit, and gives the most efficient power consumption. The multi-core CPU obtains the most effective computing performance. The computational speed of the MIC processor on Xeon Phi approached that of two Xeon CPUs. This indicates that using MICs is an attractive choice for existing SPH codes on multi-core CPUs parallelized by OpenMP, as it gains computational acceleration without the need for significant changes to the source code.

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“…Ring shear tests, which can impart extremely large shear strains, may be the ideal laboratory tool for extensive shear deformation testing (Okada et al, 2007;ASTM Standard D7608-10, 2010). Several studies have applied ring shear tests to study the residual shear strength of soils (Wang et al, 2005;Fukuoka et al, 2007;Li et al, 2013;Hoyos et al, 2014). For example, Fukuoka et al (2007) applied a newly developed ring shear test to study shear zone development during large displacements.…”

Section: Introductionmentioning

confidence: 99%

Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study

Huang

Deng

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Flow-like landslides, such as flow slides and debris avalanches, have caused serious infrastructure damage and casualties for centuries. Effective numerical simulation incorporating accurate soil mechanical parameters is essential for predicting post-failure landslide mobility. In this study, smoothed particle hydrodynamics (SPH) incorporating soil ring shear test results were used to forecast the long-runout mobility for a landslide on an unstable slope in China. First, a series of ring shear tests under different axial stresses and shear velocities were conducted to evaluate the residual shear strength of slip zones after extensive shear deformation. Based on the ring shear test results, SPH modeling was conducted to predict the post-failure mobility of a previously identified unstable slope. The results indicate that the landslide would cut a fire service road on the slope after 12 s and cover an expressway at the foot of that slope after 36 s. In the model, the landslide would finally stop sliding about 38 m beyond the foot of the slope after 200 s. This study extends the application of the SPH model from disaster simulations to predictive analysis of unstable landslide. In addition, two sets of comparative calculations were carried out which demonstrate the robustness of the SPH method.

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Modelling of tsunami-like wave run-up, breaking and impact on a vertical wall by SPH method

Cited by 19 publications

References 29 publications

Tsunami Impacts on Nuclear Power Plants along Western Coast of India Due to a Great Makran Earthquake: A Numerical Simulation Approach

Tsunami Impacts on Nuclear Power Plants along Western Coast of India Due to a Great Makran Earthquake: A Numerical Simulation Approach

Computational performance of a smoothed particle hydrodynamics simulation for shared-memory parallel computing

Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study

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