Loading...

A structural model updating method using incomplete power spectral density function and modal data

Esfandiari, A ; Sharif University of Technology | 2018

759 Viewed
  1. Type of Document: Article
  2. DOI: 10.12989/sem.2018.68.1.039
  3. Publisher: Techno Press , 2018
  4. Abstract:
  5. In this study, a frequency domain model updating method is presented using power spectral density (PSD) data. It uses the sensitivity of PSD function with respect to the unknown structural parameters through a decomposed form of transfer function. The stiffness parameters are captured with high accuracy through solving the sensitivity equations utilizing the least square approach. Using numerically noise polluted data, the model updating results of a truss model prove robustness of the method against measurement and mass modelling errors. Results prove the capabilities of the method for parameter estimation using highly noise polluted data of low ranges of excitation frequency. Copyright © 2018 Techno-Press, Ltd
  6. Keywords:
  7. Frequency response function ; Modal data ; Sensitivity-based model updating ; Frequency estimation ; Frequency response ; Modal analysis ; Spectral density ; Frequency domain model ; Frequency response functions ; Least square approach ; Model updating ; Power spectral densities (PSD) ; Sensitivity equations ; Structural model updating ; Power spectral density
  8. Source: Structural Engineering and Mechanics ; Volume 68, Issue 1 , 2018 , Pages 39-51 ; 12254568 (ISSN)
  9. URL: http://koreascience.or.kr/article/JAKO201831854887563.page