首页|Comparison between wave generation methods for numerical simulation of bimodal seas

Comparison between wave generation methods for numerical simulation of bimodal seas

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This paper describes an investigation of the generation of desired sea states in a numerical wave model.Bimodal sea states containing energetic swell components can be coastal hazards along coastlines exposed to large oceanic fetches.Investigating the effects of long-period bimodal seas requires large computational domains and increased running time to ensure the development of the desired sea state.Long computational runs can cause mass stability issues due to the Stokes drift and wave reflection,which in turn affect results through the variation of the water level.A numerical wave flume,NEWRANS,was used to investigate two wave generation methods:the wave paddle method,allowing tor a smaller domain;and the internal mass source function method,providing an open boundary allowing reflected waves to leave the domain.The two wave generation methods were validated against experimental data by comparing the wave generation accuracy and the variance of mass in the model during simulations.Results show that the wave paddle method not only accurately generates the desired sea state but also provides a more stable simulation,in which mass fluctuation has less of an effect on the water depth during the long-duration simulations.As a result,it is suggested that the wave paddle method with active wave absorption is preferable to the internal wave maker option when investigating intermediate-depth long-period bimodal seas for long-duration simulations.

Wave modelingWave generationRANSSwell waveBimodal seaLong-period waves

Daniel A.Thompson、Harshinie Karunarathna、Dominic Reeve

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Energy & Environment Research Group, Zienkiewicz Centre for Computational Engineering, Swansea University, Bay Campus, Swansea SA1 8EN, UK

This work was supported by the Natural Environment Research Council as part of a PhD studentship

EGF406

2016

水科学与水工程
河海大学

水科学与水工程

CSTPCDCSCDEI
影响因子:0.432
ISSN:1674-2370
年,卷(期):2016.9(1)
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