针对气膜冷却中涡轮端壁区域流场情况复杂、设计参数多、难以进行有效气膜孔排布优化的问题，基于贝叶斯优化提出了一种涡轮叶片端壁气膜孔排布优化设计方法，对气膜孔位置、复合角度、孔径和间距等多个参数同时进行优化。通过集成参数化建模并结合代理模型减少时间和训练成本，高效率完成优化设计。相较于基础设计，优化后目标区域气膜冷却效率提升68%，总压损失降低10%，在提升气膜效率的同时减少了气动损失，变质量流量比工况下气膜冷却效率平均提升40%。研究结果为气膜冷却等冷却技术和几何参数的优化设计提供了参考模板和新的思路。

The complex flow field of the endwall and numerous design variables make it difficult to carry out effective design of film cooling hole arrangement. In order to achieve efficient design and enhance film cooling effectiveness, a Bayesian optimization-based approach for optimizing the arrangement of film cooling holes was proposed. Multiple parameters including hole location, compound angle, diameter, and spacing were optimized simultaneously. By integrating parametric modeling and surrogate model, the optimization process was conducted efficiently while significantly reducing simulation time and training costs. Compared to the baseline design, the film cooling effectiveness was improved by 68% and reduced total pressure loss by 10%. The results demonstrate simultaneous improvement in film cooling effectiveness and reduction in aerodynamic penalty, with an average 40% enhancement in effectiveness under variable mass flow ratio conditions. A design framework and a novel method are provided for optimizing film cooling and related geometric configurations.