Work

Advancements in sea spray prediction for ship-wave interactions: Toward enhanced icing risk mitigation in cold region navigation

Year: 2025

Type: article

Abstract: This paper explores advancements in prediction methods for sea spray generated by ship-wave interactions. It begins by discussing the hazards associated with the formation of sea spray icing on ships and the critical factors involved in forecasting sea spray. Subsequently, it examines historical full-scale sea spray measurements and model-scale tests. The literature systematically reviews studies on prediction methods for sea spray generated by ship-wave interactions, presenting a classification approach that categorizes these methods into empirical, theoretical, and numerical approaches. Furthermore, the primary challenges have been identified, along with recommendations for future research directions aimed at addressing these issues. This review serves as a guide for the polar shipping community in their study of sea spray, with the goal of inspiring further advancements. In conclusion, existing numerical models can provide data on sea spray flux on the decks of various ships, thereby facilitating the correction of empirical formulas to enhance their generalizability. Furthermore, particle-based computational fluid dynamics (CFD) models offer significant advantages in simulating sea spray generated by ship-wave interactions. In the future, the integration of neural networks is expected to lead to the development of innovative prediction methods.

Source: Ocean Engineering

DOI: 10.1016/j.oceaneng.2025.121634

Authors: Xu Bai, Daolei Wu, Yingfei Zan, Yan-zhuo Xue, Liuhui Yang

Institutions: Jiangsu University of Science and Technology, Harbin Engineering University

Language: English

Topic: Ship Hydrodynamics and Maneuverability

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $4,150

Funder: National Natural Science Foundation of China