Chinese Journal of Ship Research, Volume. 19, Issue 6, 228(2024)

Structural dynamic load prediction method based on long short-term memory network

Yuwei FAN1... Tengbo GUO1, Zhe LI2, Liangyou HONG2, Chao LIU1 and Dongxiang JIANG1 |Show fewer author(s)
Author Affiliations
  • 1Department of Energy and Power Engineering, Tsinghua university, Beijing 100084, China
  • 2Beijing Institute of Structure and Environment Engineering, Beijing 100076, China
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    Figures & Tables(12)
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    • Table 1. Range of structural parameters

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      Table 1. Range of structural parameters

      输入参数
      连接刚度Kc /(N∙m−1)梁外径Rb/m梁的弹性模量Eb /Pa连接段材料弹性模量Ec /Pa
      基准1$ \times $1070.3257.10$ \times $10102.10$ \times $1011
      下限1$ \times $1070.3097.10$ \times $10102.10$ \times $1011
      上限2$ \times $1070.3417.81$ \times $10102.31$ \times $1011
    • Table 2. Configuration of hyperparameters

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      Table 2. Configuration of hyperparameters

      超参数数值超参数数值
      nenc2denc8
      ndec2ddec32
      dpram3dlin16
      B128$ \eta $0.005
      β10.9β20.999
      nepoch200
    • Table 3. Relative error of surrogate model

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      Table 3. Relative error of surrogate model

      参数不同截面内力响应相对误差/%
      1-11-21-32-13-14-15-16-1
      轴力Fs1.21.41.21.20.91.21.61.7
      弯矩Ms1.72.01.71.71.51.31.41.6
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    Yuwei FAN, Tengbo GUO, Zhe LI, Liangyou HONG, Chao LIU, Dongxiang JIANG. Structural dynamic load prediction method based on long short-term memory network[J]. Chinese Journal of Ship Research, 2024, 19(6): 228

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    Paper Information

    Category: Ship Structure and Fittings

    Received: Jul. 15, 2023

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03463

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