09:50 Thursday 7. Jul - C1
A SHM method for identifying damage based on VARX modelling and substructuring approach
Abstract »A novel damage identification method is proposed, which is based on a substructuring approach and makes use of Vector Auto-Regressive with eXogenous input (VARX) models. The substructuring approach aims to divide the monitored structure into several isolated substructures. Later, each individual substructure is modelled as a VARX model, and the health of each substructure is determined analyzing the variation of the VARX model. The method allows determining whether the isolated substructure is damaged, and besides allows locating and quantifying the damage within the substructure. It is not necessary to have a theoretical model of the structure and only displacement data of the substructures are required to estimate their VARX models. The proposed method is validated by simulations and experimentally in a five-story shear structure. Authors
Ugalde, Unai*Ugalde, Unai*
uugalde@ikerlan.es
+34 943 712 400
Biography:
Unai Ugalde is a Telecommunications engineer that is doing a doctoral thesis in IK4-Ikerlan research center. The PhD is focused on the monitoring of offshore structures. It aims to develop a method to locate damages happened within the structures by the analysis of their vibration responses.
Affiliation:
IK4-Ikerlan Research Centre
Control and Monitoring
Arrasate-Mondragón 20500
Spain
650060047
www.ikerlan.es/es/Anduaga, JavierAnduaga, Javier
janduaga@ikerlan.es
Affiliation:
IK4-Ikerlan Research Centre
Control and Monitoring
20500 Arrasate-Mondragon
Spain
www.ikerlan.es/eu/Martínez, FernandoMartínez, Fernando
Affiliation:
IK4-Ikerlan Research Centre
Microsystems
20500 Arrasate-Mondragon
SpainIturrospe, AitzolIturrospe, Aitzol
Affiliation:
Mondragon Goi Eskola Politeknikoa
Electronics and Computer Sciences
20500 Arrasate-Mondragon
SpainOther Presentations:
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Session: POSTERS-1
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PosterWed 6. 14:00, A3B
Session: New concepts and sensors based on micro and nanotechnologies
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Diagnostics and Prognostics for Damage Assesment
