Title

A New Methodology For Identification, Localization And Quantification Of Damage By Using Time Series Modeling

Abstract

In this study, a novel methodology based on time series analysis is developed to detect, locate and quantify structural changes by using free response (acceleration) data of a structure. The preliminary results of an ongoing study are presented to examine the capabilities of the methodology for damage detection in the context of Structural Health Monitoring (SHM). The basic idea behind the methodology is that a model between the outputs of a structure can be related to the structural properties of the system without using the input (excitation to the structure) or any other information. An Auto-Regressive and Moving Average with eXogenous input (ARMAX) model is created for each DOF (Degree Of Freedom) by using other DOFs' outputs as the inputs to the ARMAX model. It is shown that the approach is successfully applied to two numerical models for identification, localization and quantification of the damage. The numerical models used in this study are a spring mass system and a finite element model of a laboratory structure. The potential and advantages of the methodology under investigation are discussed. Its limitations and shortcomings are also addressed along with proposed solutions and future work plans.

Publication Date

12-1-2008

Publication Title

Conference Proceedings of the Society for Experimental Mechanics Series

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84861555094 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861555094

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