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A new computation method of bottom shear stress under Tsunami waves

Tanaka H.a, Adityawan M.B.b, Mitobe Y.a, Widiyanto W.a

a Department of Civil Engineering, Tohoku University, Sendai, Japan
b Water Resources Engineering Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Bandung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© Coastal Education and Research Foundation, Inc. 2016.The tsunami propagation in the river as well as sediment transport is highly affected by the bed stress beneath the wave. Unfortunately, most numerical models use an empirical method such as Manning’s n, which was developed for steady flow. A new method in numerical modelling to assess bed stress and sediment transport induced by wave is developed based on the boundary layer approach. The boundary layer has a significant effect on the bed stress under unsteady flow. Bed stress under unsteady flow may exhibit phase shift and sign change to the free stream velocity. Recently, Simultaneous Coupling Method (SCM) was developed and verified by combining Shallow Water Equation (SWE) and k-ω model. The simplicity of SWE was maintained while k-ω model was used to assess the bed stress from the boundary layer. The velocity from SWE is assumed as the free stream velocity, which is used as the boundary condition for k-ω. The calculated bed stress from k-ω is used in SWE to obtain water depth and velocity. In this study, SCM is further developed by simulating a tsunami wave propagation around the Kitakami River mouth and verified using a laboratory experiment. The results show good comparison between the numerical and experimental.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Bed stress,Boundary layer,Numerical model,Tsunamis[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.2112/SI75-250.1[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]