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Appl. Sci. 2017, 7(2), 111; doi:10.3390/app7020111

A Two-Step Strategy for System Identification of Civil Structures for Structural Health Monitoring Using Wavelet Transform and Genetic Algorithms

1
Faculty of Engineering, Autonomous University of Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, Col. San Cayetano, 76805 San Juan del Rio, Mexico
2
CA Telematica, División de Ingenierias Campus Irapuato Salamanca, University of Guanajuato, Carr. Salamanca-Valle de Santiago Km. 3.5 + 1.8, 36885 Salamanca, Mexico
*
Author to whom correspondence should be addressed.
Academic Editors: Gangbing Song, Chuji Wang and Bo Wang
Received: 16 November 2016 / Revised: 12 January 2017 / Accepted: 17 January 2017 / Published: 24 January 2017
(This article belongs to the Special Issue Structural Health Monitoring (SHM) of Civil Structures)
View Full-Text   |   Download PDF [7327 KB, uploaded 24 January 2017]   |  

Abstract

Nowadays, the accurate identification of natural frequencies and damping ratios play an important role in smart civil engineering, since they can be used for seismic design, vibration control, and condition assessment, among others. To achieve it in practical way, it is required to instrument the structure and apply techniques which are able to deal with noise-corrupted and non-linear signals, as they are common features in real-life civil structures. In this article, a two-step strategy is proposed for performing accurate modal parameters identification in an automated manner. In the first step, it is obtained and decomposed the measured signals using the natural excitation technique and the synchrosqueezed wavelet transform, respectively. Then, the second step estimates the modal parameters by solving an optimization problem employing a genetic algorithm-based approach, where the micropopulation concept is used to improve the speed convergence as well as the accuracy of the estimated values. The accuracy and effectiveness of the proposal are tested using both the simulated response of a benchmark structure and the measurements of a real eight-story building. The obtained results show that the proposed strategy can estimate the modal parameters accurately, indicating than the proposal can be considered as an alternative to perform the abovementioned task. View Full-Text
Keywords: smart civil structures; modal parameter estimation; synchrosqueezed wavelet transform; optimization problem; genetic algorithms; micropopulation smart civil structures; modal parameter estimation; synchrosqueezed wavelet transform; optimization problem; genetic algorithms; micropopulation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Perez-Ramirez, C.A.; Jaen-Cuellar, A.Y.; Valtierra-Rodriguez, M.; Dominguez-Gonzalez, A.; Osornio-Rios, R.A.; Romero-Troncoso, R.J.; Amezquita-Sanchez, J.P. A Two-Step Strategy for System Identification of Civil Structures for Structural Health Monitoring Using Wavelet Transform and Genetic Algorithms. Appl. Sci. 2017, 7, 111.

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