Novel non-Gaussian random wave simulation method

Abstract

The invention discloses a novel non-Gaussian random wave simulation method, which comprises the following steps of: generating a super-long time sequence Gaussian random wave according to a wave spectrum, and constructing a novel nonlinear amplitude modulation model by taking a kurtosis value and a skewness value of a target non-Gaussian random wave as an initial kurtosis value and a skewness value; carrying out one-time overall modulation on the super-long time sequence Gaussian random waves; extracting the phase of the modulated random wave, and combining the phase with the wave spectrum to generate a non-Gaussian random wave; evaluating a kurtosis value and a skewness value of the non-Gaussian random wave, comparing the kurtosis value and the skewness value with the target kurtosis value and the skewness value, finely adjusting the input kurtosis value and the skewness value according to the relationship between the kurtosis value and the skewness value, constructing a novel nonlinear amplitude modulation model again, and integrally modulating the Gaussian random wave again; and repeating the steps to obtain the non-Gaussian random waves meeting the requirements. The invention has high simulation efficiency, ensures the consistency of random wave energy distribution before and after modulation, and has high precision.

Description

technical field [0001] The invention belongs to the field of marine engineering, and in particular relates to a novel non-Gaussian random wave simulation method. Background technique [0002] A large number of wave observation data show that the random waves in the actual wave field are affected by factors such as terrain, water depth, and wave direction, and the probability distribution of the wave surface elevation does not strictly obey the Gaussian distribution, that is, the random waves in the actual wave field have a certain non-Gaussian distribution. sex. Compared with Gaussian waves, non-Gaussian random waves have a higher probability of occurrence of small-amplitude waves and large-amplitude waves, which are more likely to cause one-time damage to structures and long-term cumulative fatigue damage. In engineering, simplifying the actual non-Gaussian random waves to Gaussian random waves for design analysis will lead to inaccurate structural response prediction and ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of the existing non-Gaussian random wave simulation method, and develop a novel non-Gaussian random wave simulation method in combination with the advantages of the existing method, which has higher simulation efficiency while ensuring the random wave energy distribution remains unchanged. Break through the traditional zero-memory nonlinear conversion method to change the limitation of random wave energy distribution and make up for the low computational efficiency of the traditional phase modulation-based method

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