Large-diameter link lever butterfly valve is widely used in the transportation and adjustment of fluid media in the marine field. Because the opening and closing process of the link lever butterfly valve is mainly realized by the internal connecting rod mechanism, and it always exists in the fluid domain to affect the flow performance of the valve. It is necessary to optimize the connecting rod mechanism inside the valve. There are many structural safety problems in the connecting rod mechanism during the valve opening and closing process, such as large starting torque, vortex and turbulence near the valve disc causing resonance of the device, etc. This paper proposes a method to optimize the internal structure of the link lever butterfly valve to improve the flow performance of the valve while meeting the structural safety. The surrogate model is combined with finite element method (FEM) and computational fluid dynamics (CFD) analysis to improve optimization efficiency. The Response surface method (RSM) model is used to replace the Kriging model with insufficient accuracy, and build the combined surrogate model based on the global error criterion. The optimization algorithm combined with MIGA and NLPQL is used to obtain the best results of internal structural variables. The accuracy of the combined surrogate model is verified through FEM and CFD analysis. The results show that the flow performance of the link lever butterfly valve is greatly increased and combined surrogate model can effectively replace the finite element model to solve the optimization problem.

大口径连杆蝶阀广泛应用于海洋领域流体介质的输送和调节。因为连杆蝶阀的启闭过程主要是通过内部连杆机构实现的，它始终存在于流体域中，影响阀门的流动性能。需要优化阀门内部的连杆机构。连杆机构在阀门启闭过程中存在许多结构安全问题，如启动扭矩大、阀瓣附近涡流和湍流引起装置共振等，本文提出了一种优化内部结构的方法连杆蝶阀在满足结构安全的同时，提高阀门的流动性能。代理模型与有限元法 (FEM) 和计算流体动力学 (CFD) 分析相结合，以提高优化效率。采用响应面法（RSM）模型代替精度不足的Kriging模型，构建基于全局误差准则的组合代理模型。结合MIGA和NLPQL的优化算法用于获得内部结构变量的最佳结果。通过 FEM 和 CFD 分析验证了组合代理模型的准确性。结果表明，连杆蝶阀的流动性能大大提高，组合代理模型可以有效代替有限元模型求解优化问题。