孙寒冰, 白济维, 武超, 等. 滑行艇穿浪艏型线智能优化设计[J]. 中国舰船研究, 2024, 19(X): 1–11. DOI: 10.19693/j.issn.1673-3185.03799
引用本文: 孙寒冰, 白济维, 武超, 等. 滑行艇穿浪艏型线智能优化设计[J]. 中国舰船研究, 2024, 19(X): 1–11. DOI: 10.19693/j.issn.1673-3185.03799
SUN H B, BAI J W, WU C, et al. Intelligent optimization design of wave-piercing bow lines for planing craft[J]. Chinese Journal of Ship Research, 2024, 19(X): 1–11 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03799
Citation: SUN H B, BAI J W, WU C, et al. Intelligent optimization design of wave-piercing bow lines for planing craft[J]. Chinese Journal of Ship Research, 2024, 19(X): 1–11 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03799

滑行艇穿浪艏型线智能优化设计

Intelligent optimization design of wave-piercing bow lines for planing craft

  • 摘要:
    目的 滑行艇艏部型线对耐波性影响显著,旨在对其进行智能优化设计。
    方法 基于某型穿浪艏滑行艇,以艏柱角度、二次曲线形因子、折角线艏部控制点坐标值为参数驱动艏部型线变形,对艇首进行参数化建模;基于模型试验结果验证数值计算方法,根据数值计算结果建立代理模型;优化体积弗劳德数Fr= 2.7工况下的静水阻力及在规则波中运动响应幅值,探究设计航速下兼顾阻力与耐波性的艇首型线优化设计。
    结果 结果显示,以阻力增幅不超过12%为约束,优化后新艇型加速度幅值、垂荡幅值、纵摇幅值和升沉值均减小20%左右。
    结论 通过优化艇首型线,在保证滑行艇低阻力的同时能改善其规则波中的运动响应,可为滑行艇型线优化提供智能优化设计方法。

     

    Abstract:
    Objectives The bow lines for planing craft has a significant influence on its seakeeping performance, and it is necessary to carry out intelligent optimization design for the bow lines.
    Methods This study focuses on a certain type of wave-piercing bow planing craft, using the bow column angle, second-order curve shape factors, and the coordinates of the knuckle line bow control points as parameters to drive the deformation of the bow lines for parametric modeling of the bow. It validates numerical calculation methods based on model test results and establishes a surrogate model according to numerical results. The study optimizes the still water resistance and motion response amplitude in regular waves at a speed corresponding to a volume Froude number of Fr= 2.7, exploring bow designs that balance resistance and seakeeping at the designed speed.
    Results The results showed the with the constraint that the resistance increase does not exceed 12%, the optimized hull form sees a reduction of about 20% in acceleration amplitude, heave amplitude, pitch amplitude and heaving compared to the initial craft.
    Conclusions By optimizing the bow lines, the planing craft's low resistance is ensured while improving the motion response in regular waves, providing an intelligent optimization design method for the optimization of planing craft lines.

     

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