ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Dynamics model updating of structures at high temperature based on novel particle swarm optimization algorithm
Received date: 2021-10-25
Revised date: 2022-02-11
Accepted date: 2022-03-15
Online published: 2022-03-22
Supported by
National Natural Science Foundation of China(12072153);the Priority Academic Program Development of Jiangsu Higher Education Institutions and the Research Fund of State Key Laboratory of Mechanics and Control of Mechanical Structures （Nanjing University of Aeronautics and astronautics）(MCMS-I-0121G01)
A dynamics model updating method for structures in high temperature environments based on a novel Particle Swarm Optimization （PSO） algorithm is proposed and successfully applied to the updating of the Finite Element （FE） model of a typical complex multi-component structure. The LOPSO algorithm was first designed by combining the Lévy flight strategy and the orthogonal learning method to overcome premature convergence while the PSO solves nonlinear optimization problems such as parameter identification and model updating. Then the proposed method was used to update the equivalent stiffness and damping parameters of shafting bearings. It is proved that the new algorithm has higher accuracy. Finally， we updated the FE model of a typical complex multi-component structure in high temperature environment based on the vibration experiment by the LOPSO method. After updating， the errors of the main modal frequencies in different temperature environments were reduced to less than 7%. The accuracy of the FE model was significantly improved， verifying the effectiveness of the proposed method and its applicability to engineering problems.
Zhenyu WANG , Jizhen WANG , Jingyi YANG , Pengyuan HE , Chenghao PAN , Lingbo ZHOU , Cheng HE , Huan HE . Dynamics model updating of structures at high temperature based on novel particle swarm optimization algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(7) : 226559 -226559 . DOI: 10.7527/S1000-6893.2022.26559
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