1997Coastal Engineering 1996Requires access

The Digital Simulation of Non-Linear Random Waves

Kyungmo Ahn

Open publisher page 5 citations

Abstract

This paper presents the method for the digital simulation of the second-order nonlinear random waves including strongly nonlinear shallow water waves and near breaking waves, which can be considered to be non-Gaussian random process. The method generates time series of the second order nonlinear random waves from the given energy spectrum and bispectrum obtained from the wave records. Numerical examples indicate that the procedure is basically worked well and generated time series of waves having the similar target spectral density function and probability distribution function. The proposed method has a wide range of applicability to problems involving the second-order nonlinear systems where outputs have strongly nonlinear and non-Gaussian characteristics.

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What this paper is about

This paper presents the method for the digital simulation of the second-order nonlinear random waves including strongly nonlinear shallow water waves and near breaking waves, which can be considered to be non-Gaussian random process. The method generates time series of the second order nonlinear random waves from the given energy spectrum and bispectrum obtained from the wave records. Numerical examples indicate that the procedure is basically worked well and generated time series of waves having the similar target spectral density function and probability distribution function. The proposed method has a wide range of applicability to problems involving the second-order nonlinear systems where outputs have strongly nonlinear and non-Gaussian characteristics.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents the method for the digital simulation of the second-order nonlinear random waves including strongly nonlinear shallow water waves and near breaking waves, which can be considered to be non-Gaussian random process. The method generates time series of the second order nonlinear random waves from the given energy spectrum and bispectrum obtained from the wave records. Numerical examples indicate that the procedure is basically worked well and generated time series of waves having the similar target spectral density function and probability distribution function. The proposed method has a wide range of applicability to problems involving the second-order nonlinear systems where outputs have strongly nonlinear and non-Gaussian characteristics.

Key concepts: Bispectrum, Nonlinear system, Probability density function, Statistical physics, Series (stratigraphy), Gaussian, Stochastic process, Spectral density

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