A Hybrid Coarse-Fine Mesh Generation Method for Hull Structures Based on Precise Geometric Models
Year: 2026
Type: article
Abstract: Finite element analysis is essential for ship structural design because it enables accurate assessment of structural strength, fatigue, and vibration performance. However, mesh generation for large-scale hull structures remains challenging due to the trade-off between computational efficiency and local mesh resolution. This study proposes a semi-automatic hybrid coarse–fine mesh generation framework based on precise geometric models for local refinement. Users mark critical regions during geometric modeling; the framework then processes them automatically through a rule-driven strategy incorporating Common Structural Rules (CSR) requirements, while coarse meshes are retained in non-critical areas. A subdivision approach combining trisection with proportional and non-proportional transition patterns is developed to achieve smooth element-size variation between different mesh regions. For complex structural features, including stiffener-frame cut-outs and openings, an enhanced cross-field method is introduced to generate high-quality quadrilateral meshes while preserving geometric characteristics. A boundary simplification strategy is further developed to avoid mesh degradation near complex boundaries. Validation using representative transverse and bottom-side tank sections of a very large crude carrier (VLCC) with a deadweight tonnage (DWT) of 300,000 tonnes demonstrates the applicability of the proposed framework to local mesh refinement. The final refinement zones meet the specified mesh-density and geometric-quality criteria, whereas some transition-zone elements fall outside the adopted quality limits. Validation addresses local refinement results and geometric mesh quality rather than structural response. The proposed framework supports semi-automatic local mesh refinement of large-scale hull structures.
DOI: 10.3390/jmse14201917
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7221934758