Data underlying the publication: Computationally Aware and Physically Plausible Hull Form Optimization Incorporating the IMO Second Generation Intact Stability Guidelines

This dataset supports the publication <em>Computationally Aware and Physically Plausible Hull Form Optimization Incorporating the IMO Second Generation Intact Stability Guidelines</em>. It contains data generated from the systematic variation of the KRISO Container Ship (KCS) ship hull geometry using Free-Form Deformation (FFD), evaluated through high-fidelity Computational Fluid Dynamics (CFD) simulations and stability assessments. The research focuses on developing optimization strategies that balance resistance performance with compliance to the IMO Second Generation Intact Stability Criteria. The dataset includes the geometries, geometric parameters, operational conditions (e.g., Froude number), and corresponding resistance. It enables studies in multi-objective hull form optimization, regulatory compliance integration, and surrogate modeling within a physically constrained design space.

本数据集支撑学术论文《兼顾计算可行性与物理合理性的船型优化：纳入国际海事组织（International Maritime Organization, IMO）第二代完整稳性指南》（原英文标题：Computationally Aware and Physically Plausible Hull Form Optimization Incorporating the IMO Second Generation Intact Stability Guidelines）。本数据集包含通过自由变形（Free-Form Deformation, FFD）方法对韩国造船海洋研究院集装箱船（KRISO Container Ship, KCS）的船型几何形状进行系统性调整后生成的数据，并通过高保真计算流体动力学（Computational Fluid Dynamics, CFD）模拟与稳性评估完成验证。该项研究旨在开发兼顾阻力性能与符合国际海事组织第二代完整稳性准则要求的优化策略。数据集涵盖船型几何形状、几何参数、运营工况（如傅汝德数（Froude number））及对应阻力数据。本数据集可用于物理约束设计空间内的多目标船型优化、合规性集成与代理建模等相关研究。