Improved Gerstner Function Wave Model Based on Elfouhaily Spectrum
Aiming at the limitations of a single wave simulation approach across various marine environments, and with the aim of enhancing the reliability and realism of wave 3D modelling in different scenarios, this paper proposes a wave formation approach ground on the combination of the Gerstner function and the Elfouhaily wave spectra, which achieves the modelling of waves with different wave strengths, and feasible application of the model to further the reliability and safety of sea surface modelling is also outlined. Firstly, the improved Gerstner's functional equation system is selected as the wave construction model, and it is extended into a three-dimensional form to simulate the details and realism of the waves; secondly, in order to control the wave model and achieve the stochasticity and realism of the waves, the Elfouhaily wave spectra are used to gain the parameters for the control of the wave model, and then to establish the reliable wave simulation model; Finally, wave simulations and model comparisons are carried out with respect to the spectral parameters of multiple wave spectra, and issues related to the safety of ocean engineering applications and offshore activities based on the model are briefly presented. The experimental results show that the proposed method is reliable and practical, with high realism, and is applicable to a variety of wave scenarios, which is of great significance in improving the prognosis and safety assessment of the marine environment.
Authors
- Kuo‐Fong Ma (ORCID: https://orcid.org/0000-0002-4500-8079)
- Yu Jie Chen (ORCID: https://orcid.org/0000-0003-0807-2896)
- Zhongxun Wang (ORCID: https://orcid.org/0000-0001-6219-4515)
- Jianlong Wang (ORCID: https://orcid.org/0000-0002-4726-8544)
Institutions
- Yantai University (CN)
- Qingdao Huanghai University (CN)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/phm-beijing63284.2024.10874818
- Citations
- 1
- Primary Topic
- Image and Signal Denoising Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.25