Chinese Journal of Ship Research, Volume. 18, Issue 3, 13(2023)

Application of uncertainty design optimization based on polynomial chaos expansions and maximum entropy method in ship design

Xiao WEI1, Heng LI2, and Chenran HUANG1
Author Affiliations
  • 1China Ship Development and Design Center, Wuhan 430064, China
  • 2School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
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    Figures & Tables(16)
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    • Table 1. Polynomial coefficients of function G under different expansion orders

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      Table 1. Polynomial coefficients of function G under different expansion orders

      系数2阶展开3阶展开4阶展开准确值
      IPCM法PCM法IPCM法PCM法IPCM法PCM法
      6个样本9个样本10个样本25个样本15个样本25个样本
      $ {b_0} $4 682.3004 682.3004 682.3004 682.3004 682.3004 682.3004 682.299
      $ {b_1} $2 864.992 864.992 865.002 865.002865.002865.002865.00
      $ {b_2} $2 345.152 345.152 470.152 470.152 470.152 470.152 470.15
      $ {b_3} $997.50997.50997.50997.50997.50997.50997.50
      $ {b_4} $742.50742.50742.50742.50742.50742.50742.50
      $ {b_5} $716.497526.359500.010500.010500.010500.010500.000
      $ {b_6} $125.00125.00125.00125.00125.00
      $ {b_7} $125.02125.00125.00125.00125.00
      $ {b_8} $125.00125.00125.00125.00125.00
      $ {b_9} $0.0103.51×10−35.74×10−40
      $ {b_{10}} $6.82×10−41.38×10−4
      $ {b_{11}} $3.66×10−47.19×10−5
      $ {b_{12}} $1.08×10−36.72×10−4
      $ {b_{13}} $5.17×10−41.58×10−5
      $ {b_{14}} $1.85×10−34.25×10−4
    • Table 2. First 4 order moments solved by PCE and MC

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      Table 2. First 4 order moments solved by PCE and MC

      方法名称均值标准差偏态系数峰度系数
      3阶PCE法4 682.304 227.461.880 38.636 2
      MC法4 684.594 231.601.887 28.684 1
    • Table 3. Engineering optimization model for bulk carriers

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      Table 3. Engineering optimization model for bulk carriers

      设计变量参数值
      船长L/m$150 \leqslant L \leqslant 274.32$
      船宽B/m$20 \leqslant B \leqslant 32.31$
      型深D/m$ 13 \leqslant D \leqslant 25 $
      吃水T/m$10 \leqslant T \leqslant 11.71$
      方形系数CB$ 0.63 \leqslant {C_{\text{B}}} \leqslant 0.75 $
      设计航速Vk/kn$ 14 \leqslant {V_{\text{k}}} \leqslant 20 $
    • Table 4. The mean and the standard deviation of the objective and the constraint under the influence of uncertainty

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      Table 4. The mean and the standard deviation of the objective and the constraint under the influence of uncertainty

      目标或约束的待定系数均值误差/%标准差误差/%
      MC法PCE法MC法PCE法
      TC10.069.921.394.214.291.90
      Fn≤0.320.169 90.169 900.0180.0180
      25 000≤ DW ≤500 0003.408×1043.479×1041.958 2668 2230.52
      T-0.45DW 0.31 ≤00.3090.3041.641.0971.1333.18
    • Table 5. The failure probability pf of constraints using MEM and MC methods

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      Table 5. The failure probability pf of constraints using MEM and MC methods

      约束条件的待定系数失效概率pf /%
      MC法MEM法
      Fn≤0.3200
      25 000≤ DW ≤500 00011.211.3
      T-0.45DW 0.31 ≤047.046.7
    • Table 6. Design variables, uncertain variables, constraints and objectives of UDO

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      Table 6. Design variables, uncertain variables, constraints and objectives of UDO

      参数优化设计类别
      RDORBDORBRDO
      设计变量参见表3
      不确定量XμX=1.7,σX=0.1μXYμY=0.7,σY=0.1μYZμZ=0,σZ =0.1Vk
      约束条件参见式(21)pf (Fn ≤0.32)≤1%pf (25 000 ≤DW≤500 000)≤1%pf (T-0.45DW 0.31≤0)≤1%
      目标函数min μ(TC) 和 min σ(TC)min TCmin μ(TC) 和 min σ(TC)
    • Table 7. The comparison of optimization results

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      Table 7. The comparison of optimization results

      目标或约束系数值初始方案[10]DORDORBDORBRDO
      PCE法MC法PCE法MC法PCE法MC法
      TC确定值9.938.458.498.508.588.588.608.64
      均值10.139.799.8010.0810.0910.0410.02
      标准差4.293.553.574.134.154.094.08
      Fn ≤0.32失效概率pf00000000
      标准差0.0180.0180.0160.0160.0180.0180.0170.017
      25 000 ≤DW≤500 000失效概率pf13.3%11.3%9.2%9.0%000.4%0.1%
      标准差8 8868 2238 1678 1718 3558 3718 0978 092
      T-0.45DW 0.31≤0失效概率pf14.2%46.7%32.5%32.3%000.3%0.1%
      标准差1.2031.1331.0591.0921.1431.1601.0041.003
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    Xiao WEI, Heng LI, Chenran HUANG. Application of uncertainty design optimization based on polynomial chaos expansions and maximum entropy method in ship design[J]. Chinese Journal of Ship Research, 2023, 18(3): 13

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    Paper Information

    Category: Ship Design and Performance

    Received: Oct. 24, 2021

    Accepted: --

    Published Online: Mar. 20, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02563

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