Journal of System Simulation ›› 2025, Vol. 37 ›› Issue (3): 571-583.doi: 10.16182/j.issn1004731x.joss.24-0129

• Papers • Previous Articles    

Vibration Simulation and Multivariate Statistical Analysis Method of Composite Structures

Guo Bo1, Tie Ming1, Fan Wenhui2   

  1. 1.Science and Technology on Space Physics Laboratory, Beijing 100076, China
    2.Department of Automation, Tsinghua University, Beijing 100084, China
  • Received:2024-02-02 Revised:2024-04-17 Online:2025-03-17 Published:2025-03-21
  • Contact: Tie Ming

Abstract:

To investigate the natural frequency characteristics of composite laminates under parametric uncertainties and the different degree of influence of these parameters on the natural frequency under different boundary conditions and different vibration orders, a two-dimensional anisotropic medium-thick plate material model and a three-dimensional anisotropic cylindrical thin-shell material vibration model are established. Aiming at the uncertainty of structural parameters of these composite materials, the composite material vibration simulation and multivariate statistical analysis software are developed to simulate the structural vibration of composite materials. A multivariate statistical analysis method for natural frequency uncertainty of composite materials is presented. Through principal component analysis and factor analysis methods, the data dimensionality is reduced, and the natural frequency of materials can be expressed by a few principal components or factor components, so as to finally achieve the purpose of analyzing and dealing with the uncertainty of natural frequency of composite materials more efficiently and accurately, and solve the complicated problem of the uncertainty analysis process of composite materials. This can improve the efficiency of composite structural design in various fields.

Key words: composite material, vibration simulation, uncertainty, natural frequency, principal component analysis, factor analysis

CLC Number: