Chinese Journal of Ship Research, Volume. 19, Issue 6, 180(2024)

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

Hanbing SUN... Jiwei BAI, Chao WU, Jiayi LIU and Chenrui SHANG |Show fewer author(s)
Author Affiliations
  • College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
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    Figures & Tables(26)
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    • Table 1. Model parameters for wave-piercing bow planing craft

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      Table 1. Model parameters for wave-piercing bow planing craft

      参数数值
      艇长/m2.3
      型宽/m0.702
      吃水/m0.168
      排水量/kg137.3
      型深/m0.357
    • Table 2. Errors between the calculated resistance and the experimental results using different mesh schemes

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      Table 2. Errors between the calculated resistance and the experimental results using different mesh schemes

      网格数量阻力计算值/N阻力试验值/N误差/%
      35×104106.57113.936.46
      68×104108.39113.934.86
      159×104108.66113.934.62
    • Table 3. Wave simulation conditions

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      Table 3. Wave simulation conditions

      参数数值
      λ/L1.0,1.5,2.0,2.5,3.0,3.5,4.0
      H/m0.05
      $Fr_{\nabla} $2.7
    • Table 4. Sampling range of design parameters

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      Table 4. Sampling range of design parameters

      参数基础数值下限数值上限数值
      α/(°)9060135
      β0.50.40.9
      Y /mm−194.904−228.104−161.704
    • Table 5. Effect values of each parameter on the optimization objective

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      Table 5. Effect values of each parameter on the optimization objective

      设计参数阻力平均值C加速度幅值D垂荡幅值E纵摇幅值F
      Y/mm0.3660.8570.8620.840
      α/(°)0.5660.0470.0470.004
      β0.0680.0960.0910.156
    • Table 6. Algorithm parameters

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      Table 6. Algorithm parameters

      参数数值
      初始种群数20
      遗传代数30
      交叉概率0.9
      变异概率1
    • Table 7. Parameters of the Pareto optimal solution in multi-subject optimization

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      Table 7. Parameters of the Pareto optimal solution in multi-subject optimization

      迭代次数Y/mmα/(°)β
      596172.82567.80.62
      564174.76076.60.61
      541174.53570.00.61
      533166.94269.90.61
      515174.82170.30.61
      422170.17870.30.62
      420165.10669.80.62
      401172.34170.30.62
    • Table 8. Prediction results of hydrostatic performance indicators

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      Table 8. Prediction results of hydrostatic performance indicators

      艇型阻力值/N升沉值/mm纵倾值/(°)
      初始110.9178.345.91
      #596122.7162.335.92
      #564122.0162.945.93
      #541122.3462.945.93
      #533123.4661.275.89
      #515122.3262.755.92
      #422122.9361.925.91
      #420123.7360.925.88
      #401122.5762.365.92
    • Table 9. Prediction results of seakeeping performance indicators

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      Table 9. Prediction results of seakeeping performance indicators

      艇型阻力平均值/N波浪增阻/N加速度幅值/(m∙s−2)垂荡幅值/mm纵摇幅值/(°)
      初始112.251.348.5790.685.78
      #596124.812.17.3876.754.94
      #564125.053.047.3676.554.92
      #541124.802.467.3976.824.94
      #533124.981.527.3075.794.88
      #515124.792.477.3976.864.94
      #422124.901.977.3476.234.91
      #420125.051.327.2775.504.87
      #401124.882.317.3676.504.92
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    Hanbing SUN, Jiwei BAI, Chao WU, Jiayi LIU, Chenrui SHANG. Intelligent optimization design of wave-piercing bow lines for planing craft[J]. Chinese Journal of Ship Research, 2024, 19(6): 180

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    Paper Information

    Category: Theory and Method of Intelligent Design for Ship and Ocean Engineering

    Received: Feb. 28, 2024

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03799

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