研究基于GA-PSO融合算法的舰船轮廓CAD模型参数优化方法，提升舰船轮廓CAD模型参数优化效果，减轻舰船结构质量。以舰船抗爆性能不变为前提，最轻舰船结构质量为目标函数，几何约束、总纵弯曲约束与应力约束为约束条件，建立舰船轮廓CAD模型参数优化模型。通过GA-PSO融合算法求解优化模型，获取最轻舰船结构质量以及对应的舰船轮廓CAD模型优化参数。实验证明：该方法可有效优化舰船轮廓CAD模型参数，令舰船结构质量下降11.43%；参数优化后的舰船应力有所提升，但始终未超过允许的最大应力值，即该方法可在应力允许范围内，最大程度降低舰船结构质量，具备较优的参数优化效果；在不同荷载工况时，该方法均具备较高的内板吸能，即抗爆性能较优。
The parameter optimization method of ship contour CAD model based on GA-PSO fusion algorithm is studied to improve the parameter optimization effect of ship contour CAD model and reduce the quality of ship structure. On the premise that the anti-detonation performance of the ship is not changed, the weight of the lightest ship structure is the objective function, and the geometric constraints, longitudinal bending constraints and stress constraints are the constraints, the ship contour CAD model parameter optimization model is established. Ga-pso fusion algorithm was used to solve the optimization model, and the structural quality of the lightest ship and the corresponding optimization parameters of the ship contour CAD model were obtained. Experimental results show that this method can effectively optimize the parameters of ship contour CAD model and reduce the ship structure quality by 11.43%. After parameter optimization, the ship stress is improved to some extent, but never exceeds the maximum allowable stress value, that is, the method can reduce the ship structure quality to the maximum extent within the allowable stress range, and has a better parameter optimization effect. Under different load conditions, the method has higher energy absorption of inner plate, that is, better anti-explosion performance.
2022,44(13): 45-48 收稿日期：2022-02-08
DOI：10.3404/j.issn.1672-7649.2022.13.010
分类号：U661.4
基金项目：广东省教学质量工程建设项目课题（2019012）
作者简介：单文举(1983-),男,硕士,讲师,研究方向为数控加工、多轴加工及制造业信息化
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