In the context of the global shipping industry's transition towards high efficiency and low carbon emissions, energy conservation and drag reduction for ships have become core research directions in marine engineering. Container ships, as the backbone of international trade, experience a significant increase in wind resistance under extreme wind conditions of level 8 and above, which affects their navigation efficiency, energy consumption, and safety. Optimizing wind resistance is crucial for enhancing ship performance and reducing carbon emissions. The fairing can reduce the air resistance of ships by optimizing the flow field and suppressing vortex flows, presenting broad application prospects. However, existing research has primarily focused on conventional wind conditions, and further analysis is needed under extreme wind conditions. Given the typicality and harmfulness of level 8 winds, this paper takes large container ships as the research object. Based on Computational Fluid Dynamics (CFD) numerical simulations, by establishing key structural models, optimizing computational domains and grids, and selecting the Realizable k-ε turbulence model and Volume of Fluid (VOF) multiphase flow model, this study investigates the drag reduction effect of polygonal curved fairings under level 8 wind speeds. It analyzes parameters such as drag coefficient and flow field distribution, reveals the flow field regulation mechanism, and provides theoretical support and data reference for the optimal design and engineering application of fairings.

Abstract
1. Introduction
2. Ship resistance analysis
    2.1 Total ship resistance
    2.2 Wind resistance of ships
3. Numerical calculation method
    3.1 Governing equations
    3.2 Hull model
    3.3 Computational domain
    3.4 Mesh generation
    3.5 Solution settings
    3.6 Grid-independence verification
    3.7 Numerical result verification of different turbulence
4. Resistance calculation and analysis
    4.1 Selection of calculation speed
    4.2 Numerical calculation results
    4.3 Numerical flow field analysis
5. Conclusion
References

• Yefu Duan(School of Naval Architecture and Port Engineering, Shandong Jiaotong University, Weihai 264209, China)
• Haihua Lin(School of Naval Architecture and Port Engineering, Shandong Jiaotong University, Weihai 264209, China) Corresponding author
• Chengmeng Sun(School of Naval Architecture and Port Engineering, Shandong Jiaotong University, Weihai 264209, China)