Volume 48 Issue 11
Nov.  2022
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YANG Hui, FAN Shuoshuo, WANG Yan, et al. Stiffness optimization of M-shaped boom based on radial basis function surrogate model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(11): 2121-2129. doi: 10.13700/j.bh.1001-5965.2021.0091(in Chinese)
Citation: YANG Hui, FAN Shuoshuo, WANG Yan, et al. Stiffness optimization of M-shaped boom based on radial basis function surrogate model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(11): 2121-2129. doi: 10.13700/j.bh.1001-5965.2021.0091(in Chinese)

Stiffness optimization of M-shaped boom based on radial basis function surrogate model

doi: 10.13700/j.bh.1001-5965.2021.0091
Funds:

Anhui Provincial Natural Science Foundation 2108085QE221

National Natural Science Foundation of China 51975001

National Natural Science Foundation of China 51835002

National Natural Science Foundation of China 52105013

Open Fundings of State Key Laboratory of Robotics and System SKLRS-2020-KF-16

More Information
  • Corresponding author: YANG Hui, E-mail: huiyang_0431@163.com
  • Received Date: 24 Feb 2021
  • Accepted Date: 06 Jun 2021
  • Publish Date: 21 Jun 2021
  • In the execution of space missions, the hyper-elastic boom is mainly used in the deployment and support of large space deployable antennas and solar sails. In order to improve the supporting effect of the hyper-elastic boom in the state of deployment, the stiffness of the M-shaped hyper-elastic boom (M boom) with different sizes was studied. By using ABAQUS, the M boom's bending, compression, and torsion finite element models were created, and an explicit dynamic method was used to carry out a nonlinear numerical simulation of the M boom's buckling process.The bending stiffness, torsional stiffness and compression stiffness were taken as optimization objectives, the mass as constraint, and the cross-section arc length and radius as independent variables to establish the optimization model. The full factor method was used to design the experiment, the radial basis function (RBF) was used to establish the buckling surrogate model of the M boom, using the particle swarm optimization (PSO) algorithm to perform parameter optimization of the M boom. The ideal values for the length of bonding segment and the central angle were 7.894 5 mm and 26°, and the variation rule of stiffness with the length of bonding segment and the central angle was obtained.

     

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