Sensitivity analysis of the power spectrum density function for non-viscously damped systems subject to stationary stochastic excitations

被引:0
|
作者
Shi J. [1 ,2 ,3 ]
Ding Z. [1 ,2 ,3 ]
Zhang L. [1 ,2 ,3 ]
Zhang Y. [1 ,2 ,3 ]
机构
[1] Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan
[2] Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan
[3] Precision Manufacturing Institute, Wuhan University of Science and Technology, Wuhan
来源
关键词
non-viscous damping model; power spectral density (PSD); pseudo-excitation method (PEM); sensitivity analysis; stationary stochastic excitations;
D O I
10.13465/j.cnki.jvs.2023.08.002
中图分类号
学科分类号
摘要
Calculating the first-order derivatives of the power spectrum density (PSD) function with respect to design variables is a prerequisite for random responses when gradient-based optimization algorithms are adopted. Unlike a viscous damping model, which assumes that the damping force is proportional to the velocity, the damping force of non-viscous damping model depends on the past history of motion via convolution integrals over some suitable kernel functions. Therefore, a non-viscous damping model is more accurate to modelling the energy dissipation behaviors of viscoelastic materials. The design sensitivity analysis of PSD function for non-viscously damped systems subjected stationary stochastic excitations was considered. The governing equations of the non-viscously damped system under stationary random excitations were transformed into a deterministic harmonic response problem based on the pseudo-excitation method (PEM). The expressions of the first-order derivatives of the PSD function were derived by the direct differentiate method. Three numerical methods, namely complex-mode based first-and second-order approximation method and pseudo-excitation method-iterative method (PEM-IM), were proposed to calculate the sensitivity of the PSD function. The computational accuracy and efficiency of the three methods were compared by two numerical methods. The results indicate that the PEM- IM is the best candidate to compute the sensitivities of the PSD function of non-viscously damped systems, especially for large-scale problems. © 2023 Chinese Vibration Engineering Society. All rights reserved.
引用
收藏
页码:20 / 27and37
页数:2717
相关论文
共 27 条
  • [1] ZHANG Yafeng, YIN Hong, PENG Zhenrui, Et al., Model updating based on sensitivity analysis of displacement FRF, Journal of Vibration and Shock, 40, 17, pp. 63-69, (2021)
  • [2] ZHOU Junxian, LU Zhongrong, WANG Li, Damage identification based on the sensitivity analysis with hybrid data, Journal of Vibration and Shock, 38, 18, pp. 236-241, (2019)
  • [3] GOMEZ F, SPENCER B F, CARRION J., Topology optimization of buildings subjected to stochastic wind loads, Probabilistic Engineering Mechanics, 64, (2021)
  • [4] SU C, LI B M, CHEN T C, Et al., Stochastic optimal design of nonlinear viscous dampers for large-scale structures subjected to non-stationary seismic excitations based on dimension-reduced explicit method, Engineering Structures, 175, pp. 217-230, (2018)
  • [5] SUN Panxu, YANG Hong, A response spectrum CCQC method for non-proportionally damped systems based on equivalent viscous damping model, Engineering Mechanics, 38, 10, pp. 160-172, (2021)
  • [6] MITSEAS L P, BEER M., Modal decomposition method for response spectrum based analysis of nonlinear and non-classically damped systems, Mechanical Systems and Signal Processing, 131, pp. 469-485, (2019)
  • [7] XIANG Pan, ZHAO Yan, LIN Jiahao, Hybrid PC- PEM for complex random vibration analysis, Journal of Vibration and Shock, 34, 4, pp. 35-39, (2015)
  • [8] ZHU Z H, WANG L D, COSTA P A, Et al., An efficient approach for prediction of subway train-induced ground vibrations considering random track une venness, Journal of Sound and Vibration, 455, pp. 359-379, (2019)
  • [9] ZHANG C, CHENG L, QIU J H, Et al., Damage detection based on sparse virtual element boundary measurement using metal-core piezoelectric fiber, Structural Health Monitoring-an International Journal, 17, 1, pp. 15-23, (2018)
  • [10] ZHAO X Q, WU B S, LAI S K, Et al., A PEM-based topology optimization for structures subjected to stationary random excitations, Engineering Structures, 229, (2021)