Affiliation:
1. Key Laboratory of Far-Shore Wind Power Technology of Zhejiang Province, Hangzhou 311122, China
2. Power China Huadong Engineering Corporation Limited, Hangzhou 311122, China
3. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
Abstract
Ocean waves typically consist of wind, sea, and swell trains. Conventionally, the treatment of multimodal waves has been to conceptualize them as a unified wave system and employ a single set of aggregate wave parameters for the representation of their collective characteristics. Nevertheless, a better understanding of multimodal waves is important when analyzing the interactions between waves and moored vessels, considering the pronounced sensitivity of a ship’s responses to wave periods and directions. Many spectral partitioning methodologies have been proposed to discern and segregate multimodal waves into two or more distinct wave systems, providing fundamental information for investigating moored ship responses to multimodal waves. Utilizing the wave spectra data acquired from a specific water region in South America, a comprehensive numerical study was undertaken by employing the specialized ocean engineering software ORCAFLEX 11.2e. The primary objective of this investigation is to analyze the dynamic response of a moored liquefied natural gas (LNG) vessel in ballast conditions subjected to waves defined by distinct wave identification methods (i.e., overall method and spectral partition method). Furthermore, the waves are categorized into two groups: beam waves and head waves. Results show that beam waves induce a substantial ship response, whereas head waves pose a comparatively lower risk to maritime vessels. Furthermore, the conventional overall wave approach tends to neglect the roll motion generated by multimodal waves when they propagate as head waves. Nevertheless, when the wave direction aligns with beam waves, the overall wave approach tends to produce the roll motion. These findings indicate the importance of considering multimodal waves in quay layout and mooring configuration design.
Funder
National Natural Science Foundation of China
Dalian Science and Technology Bureau
Fundamental Research Funds for the Central Universities
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference27 articles.
1. Pierson, W.J., Neumann, G., and James, R.W. (1955). Practical Methods for Observing and Forecasting Ocean Waves by Means of Wave Spectra and Statistics, U.S. Naval Hydrographic Office.
2. An improved algorithm for the retrieval of ocean wave spectra from synthetic aperture radar image spectra;Hasselmann;J. Geophys. Res. Ocean.,1996
3. Spectral Partitioning and Identification of Wind Sea and Swell;Portilla;J. Atmos. Ocean. Technol.,2009
4. Prediction of dynamic responses for execution of marine operations using partitioning of multimodal directional wave spectra and machine learning regression models;Portilla;Ocean. Eng.,2022
5. The effect of climate change on wind-wave directional spectra;Lobeto;Glob. Planet Chang.,2022