A mode shape assembly algorithm by using two stage Bayesian Fast Fourier Transform Approach. (1st December 2019)
- Record Type:
- Journal Article
- Title:
- A mode shape assembly algorithm by using two stage Bayesian Fast Fourier Transform Approach. (1st December 2019)
- Main Title:
- A mode shape assembly algorithm by using two stage Bayesian Fast Fourier Transform Approach
- Authors:
- Hızal, Çağlayan
Turan, Gürsoy
Aktaş, Engin
Ceylan, Hasan - Abstract:
- Highlights: An alternative algorithm is presented for Bayesian mode shape assembly. The contribution of each measurement setup is weighted by the local mode shape Hessian matrix. The proposed algorithm is validated by numerical and experimental studies. Abstract: Operational modal analysis may require identifying global modal shapes by using multiple setup measurements. For this purpose, various algorithms have been developed which make use of the Bayesian approach to estimate the global mode shapes. The main motivation of the available Bayesian approaches is based on the estimation of the optimal global mode shape vector directly from Fast Fourier Transform data or assembling the local mode shapes that are identified in the individual setups by using Gaussian approximation. In this study, the two-stage Bayesian Fast Fourier Transform Approach which is originally applied to single setups is implemented to multiple setup problems for well separated modes. Analytically it is shown that the resulting formulation is the same for the mode shape assembly by using the Gaussian approximation. In addition, the weights of individual setups in the global mode shape vector is analytically calculated which depend on the Hessian matrix for local mode shapes. To validate the proposed methodology, a numerical example that considers setup-to-setup variability of modal signal-noise ratios is presented. For comparison purposes a ten-story shear frame model is experimentally investigated, andHighlights: An alternative algorithm is presented for Bayesian mode shape assembly. The contribution of each measurement setup is weighted by the local mode shape Hessian matrix. The proposed algorithm is validated by numerical and experimental studies. Abstract: Operational modal analysis may require identifying global modal shapes by using multiple setup measurements. For this purpose, various algorithms have been developed which make use of the Bayesian approach to estimate the global mode shapes. The main motivation of the available Bayesian approaches is based on the estimation of the optimal global mode shape vector directly from Fast Fourier Transform data or assembling the local mode shapes that are identified in the individual setups by using Gaussian approximation. In this study, the two-stage Bayesian Fast Fourier Transform Approach which is originally applied to single setups is implemented to multiple setup problems for well separated modes. Analytically it is shown that the resulting formulation is the same for the mode shape assembly by using the Gaussian approximation. In addition, the weights of individual setups in the global mode shape vector is analytically calculated which depend on the Hessian matrix for local mode shapes. To validate the proposed methodology, a numerical example that considers setup-to-setup variability of modal signal-noise ratios is presented. For comparison purposes a ten-story shear frame model is experimentally investigated, and the measurements of a benchmark bridge structure are considered in the verification of the current procedure. … (more)
- Is Part Of:
- Mechanical systems and signal processing. Volume 134(2019)
- Journal:
- Mechanical systems and signal processing
- Issue:
- Volume 134(2019)
- Issue Display:
- Volume 134, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 134
- Issue:
- 2019
- Issue Sort Value:
- 2019-0134-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-12-01
- Subjects:
- BFFTA -- Mode shape assembly -- Modal identification -- Operational modal analysis -- Multiple setups
Structural dynamics -- Periodicals
Vibration -- Periodicals
Constructions -- Dynamique -- Périodiques
Vibration -- Périodiques
Structural dynamics
Vibration
Periodicals
621 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08883270 ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0888-3270;screen=info;ECOIP ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ymssp.2019.106328 ↗
- Languages:
- English
- ISSNs:
- 0888-3270
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5419.760000
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