Title
A Modified Time Series Analysis For Identification, Localization, And Quantification Of Damage
Abstract
In this study, a novel time series analysis methodology is used to detect, locate, and quantify structural changes by using free response data. An Auto-Regressive model with eXogenous input (ARX) model is created for each DOF (Degree Of Freedom) by using other DOFs' outputs as the inputs to the ARX model. After the ARX model for the healthy structure is created, the same model is used for predicting the data from the damaged structure. The difference between the fit ratios is used as damage indicating feature. It is shown that the approach is successfully applied for different damage cases for identification, localization, and quantification of the damage. The potential and advantages of the methodology are discussed along with the analysis results. The limitations and shortcomings of the methodology are also addressed. This approach is also very suitable for correlating model and experimental data for model verification and validation purposes. © 2009 Society for Experimental Mechanics Inc.
Publication Date
12-1-2009
Publication Title
Conference Proceedings of the Society for Experimental Mechanics Series
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84861547546 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84861547546
STARS Citation
Gul, Mustafa and Catbas, F. Necati, "A Modified Time Series Analysis For Identification, Localization, And Quantification Of Damage" (2009). Scopus Export 2000s. 11338.
https://stars.library.ucf.edu/scopus2000/11338