为提高开孔潜航器的阻力性能，基于流水孔的特征参数，结合特征参数化曲线，提出基于几何模型和全参数表达的数据联合驱动的流水孔构型控制方法。以航速段阻力特性为设计目标，嵌入全局搜索智能优化算法，构建潜航器流水孔的优化设计系统，采用基于雷诺平均纳维-斯托克斯方程（RANS）的标准k-ε模型，完成优化设计计算。结果表明，优化带孔穴潜航器的阻力相比母型潜航器最佳减小了1.55%，潜航器的速度分布和压力分布受开孔位置的影响，流水孔导致边界层厚度增大，使得潜航器阻力增加。流水孔宽度、流水孔长度和y向一侧流水孔距中轴线距离对阻力的影响较为显著，且流水孔越靠近中轴线，阻力越大。该优化设计系统在满足潜航器战术技术性能要求的前提下合理定义艇体表面开孔数量和开孔面积，能够为工程实际中水下航行体的减阻设计提供方法支撑。

英文摘要:

To improve the resistance performance of submarine vehicles with flood holes, a data-driven flood hole configuration control method is proposed based on a geometric model and full-parameter expression, using characteristic parameters of the flood holes combined with parameterized characteristic curves. Taking resistance characteristics across different speed regimes as the design objective, a global search intelligent optimization algorithm is embedded to construct an optimization design system for submarine vehicle flood holes. The optimization calculations are performed using the standard k-ε model based on RANS. The results show that the resistance of the optimized submarine vehicle with perforations is reduced by up to 1.55% compared with the parent submarine vehicle. The velocity and pressure distributions of the submarine vehicle are influenced by the hole placement, and the presence of flood holes increases boundary layer thickness, thereby increasing resistance. The width and length of the flood holes, as well as the lateral (y-direction) distance from the central axis, have a significant effect on resistance. The closer the flood hole is to the central axis, the greater the resistance observed. Under the premise of meeting the tactical and technical requirements of submarine vehicles, the optimization design system provides a rational definition of the number and area of hull surface openings, offering methodological support for drag reduction design in practical underwater vehicle engineering.

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