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Structure Optimization of a Vibration Suppression Device for Underwater Moored Platforms Using CFD and Neural Network

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  • Zhaoyong Mao
  • Fuliang Zhao

Abstract

We only consider the underwater mooring platform (UMP) and the plate moving in the transverse direction, and the plate can be relative to the UMP free rotation. In the case of constant flow rate (  m/s), the effect of different dimensionless plate length ( ) and damping value ( ) on the UMP was studied. We get the sample data point set by computational fluid dynamics (CFD) simulation with changing the dimensionless plate length ( , 0.5, 0.75, 1.0, 1.25, 1.5) and damping value ( , 75, 100, 125, 175, 250, 300 (N × s/m)). The optimal value of the vibration suppression rate is obtained by backpropagation (BP) neural network and genetic algorithm. The optimal vibration suppression rate is and the corresponding variable value is ,  (N × s/m). In order to verify the accuracy of the optimization, we perform the CFD numerical simulation with the optimized parameters and compare the theoretical optimization results with the CFD simulation result. The absolute error between CFD simulation and optimal is only 0.0037. Finally, we compare the results of CFD simulation based on optimal parameter with the bare UMP and analyze their dimensionless amplitude, wake structure, and lift coefficient. It is shown that BP neural network and generic algorithm are effective.

Suggested Citation

  • Zhaoyong Mao & Fuliang Zhao, 2017. "Structure Optimization of a Vibration Suppression Device for Underwater Moored Platforms Using CFD and Neural Network," Complexity, Hindawi, vol. 2017, pages 1-21, December.
    • Handle: RePEc:hin:complx:5392539
    DOI: 10.1155/2017/5392539
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    References listed on IDEAS

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    1. Tian, Wenlong & Mao, Zhaoyong & An, Xinyu & Zhang, Baoshou & Wen, Haibing, 2017. "Numerical study of energy recovery from the wakes of moving vehicles on highways by using a vertical axis wind turbine," Energy, Elsevier, vol. 141(C), pages 715-728.
    2. Wenlong Tian & Zhaoyong Mao & Fuliang Zhao, 2017. "Design and Numerical Simulations of a Flow Induced Vibration Energy Converter for Underwater Mooring Platforms," Energies, MDPI, vol. 10(9), pages 1-20, September.
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    Cited by:

    1. Gu, Mengfan & Song, Baowei & Zhang, Baoshou & Mao, Zhaoyong & Tian, Wenlong, 2020. "The effects of submergence depth on Vortex-Induced Vibration (VIV) and energy harvesting of a circular cylinder," Renewable Energy, Elsevier, vol. 151(C), pages 931-945.

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