Structural damage continuous monitoring by using a data driven approach based on principal component analysis and cross-correlation analysis
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10.1088/1742-6596/842/1/012018
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/107221
Tipus de documentArticle
Data publicació2017
EditorInstitute of Physics (IOP)
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement 3.0 Espanya
Abstract
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.
CitacióCamacho-Navarro, J., Ruiz, M., Villamizar, R., Mujica, L.E., Moreno, G., Quiroga , J. Structural damage continuous monitoring by using a data driven approach based on principal component analysis and cross-correlation analysis. "Journal of physics: conference series", 2017, vol. 842, núm. 1, p. 1-9.
ISSN1742-6588
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structural_damage.pdf | 1,458Mb | Visualitza/Obre |