Structural damage continuous monitoring by using a data driven approach based on principal component analysis and cross-correlation analysis

Continuous monitoring for damage detection in structural assessment comprises implementation of low cost equipment and efficient algorithms. This work describes the stages involved in the design of a methodology with high feasibility to be used in continuous damage assessment. Specifically, an algor...

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Detalles Bibliográficos
Autores: Camacho-Navarro, Jhonatan, Ruiz Ordóñez, Magda|||0000-0003-4419-1649, Villamizar Mejía, Rodolfo, Mujica Delgado, Luis Eduardo|||0000-0001-7123-8065, Moreno Beltran, Gustavo Adolfo, Quiroga, Jabid
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/107221
Acceso en línea:https://hdl.handle.net/2117/107221
https://dx.doi.org/10.1088/1742-6596/842/1/012018
Access Level:acceso abierto
Palabra clave:Structural engineering
Enginyeria d'estructures
Àrees temàtiques de la UPC::Física
Descripción
Sumario:Continuous monitoring for damage detection in structural assessment comprises implementation of low cost equipment and efficient algorithms. This work describes the stages involved in the design of a methodology with high feasibility to be used in continuous damage assessment. Specifically, an algorithm based on a data-driven approach by using principal component analysis and pre-processing acquired signals by means of cross -correlation functions, is discussed. A carbon steel pipe section and a laboratory tower were used as test structures in order to demonstrate the feasibility of the methodology to detect abrupt changes in the structural response when damages occur. Two types of damage cases are studied: crack and leak for each structure, respectively. Experimental results show that the methodology is promising in the continuous monitoring of real structures.