Numerical Simulation of Sub-Surface Landslide Waves Using an explicit three-step compressible SPH algorithm

Document Type : Research Article

Authors

Water engineering group, Water engineering college, Razi university, kermanshah,Iran

Abstract

The coastal waves that are produced by a landslide in the lake of reservoir dams can threaten the dam safety. Therefore, the exact recognition of hydraulic flow due to coastal waves has always been of interest to researchers. So far, extensive laboratory and numerical research have been conducted. In this research, a completely lagrangian numerical method which is based on particle and non-grid called the Smoothed Particle Hydrodynamic Method (SPH) was used to simulate coastal waves due to landslide. In the present study, a new three-step SPH algorithm based on the prediction and correction method was solved by governing equations. To validate the method, the laboratory data of the dam break problem on dry bed has been used. The results of this study approximated the analytical solution well, and the current model result was close to the analytical solution for the depth of flow in the break site. Also, the correlation coefficient of 0.9998, the mean absolute error of 0.5426 and the efficiency coefficient of the Nash-Sutcliff model 0.974 for the calculated parameters indicated that the model is accurately calibrated and the model can simulate the depth and discharge of water. Also, the results showed that the ability of the present model in the numerical simulation of sub-surface landslide wave in the production region and run-up region is high, and it stimulates the propagation region very well with an accuracy of 95%. With the comparison of measured and laboratory results, the correlation coefficient and the root mean square error were 0.95 and 0.0071 respectively, which indicates the high accuracy of the model in calculating the surface water profile due to subsurface landslide.

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References

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Amirkabir Journal of Civil Engineering
Volume 52, Issue 4
July 2020
Pages 969-988

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