Data underlying the publication: A Review on Shape Optimization of Hulls and Airfoils Leveraging Computational Fluid Dynamics Data-Driven Surrogate Models

This dataset supports the publication <em>A Review on Shape Optimization of Hulls and Airfoils Leveraging Computational Fluid Dynamics Data-Driven Surrogate Models</em>. It consists of a structured spreadsheet compiling relevant academic works that apply surrogate modeling techniques to the shape optimization of marine hulls and airfoils. The dataset includes bibliographic information, surrogate model types, CFD fidelity levels, optimization strategies, and target performance metrics. It was manually curated to support a systematic overview of the field, highlighting methodological trends, research gaps, and comparative insights across different domains. This dataset enables further meta-analysis, replication of the review, and serves as a reference resource for researchers entering the field.

本数据集为论文《利用计算流体动力学（Computational Fluid Dynamics, CFD）数据驱动代理模型（Surrogate Models）的船体与翼型形状优化综述》提供支撑。该数据集包含一份结构化电子表格，汇总了将代理模型技术应用于船舶船体与翼型形状优化的相关学术成果。数据集涵盖文献书目信息、代理模型类型、CFD保真度级别、优化策略以及目标性能指标。本数据集经人工整理编制，旨在为该领域提供系统性综述，突出不同研究方向下的方法学趋势、研究空白以及跨领域对比分析结论。本数据集可支持后续元分析、该综述的复现工作，并可为初入该领域的研究人员提供参考资源。