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A refined Frequency Domain Decomposition tool for structural modal monitoring in earthquake engineering 被引量:2

A refined Frequency Domain Decomposition tool for structural modal monitoring in earthquake engineering
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摘要 Output-only structural identification is developed by a refined Frequency Domain Decomposition(rFDD) approach, towards assessing current modal properties of heavy-damped buildings(in terms of identification challenge), under strong ground motions. Structural responses from earthquake excitations are taken as input signals for the identification algorithm. A new dedicated computational procedure, based on coupled Chebyshev Type Ⅱ bandpass filters, is outlined for the effective estimation of natural frequencies, mode shapes and modal damping ratios. The identification technique is also coupled with a Gabor Wavelet Transform, resulting in an effective and self-contained time-frequency analysis framework. Simulated response signals generated by shear-type frames(with variable structural features) are used as a necessary validation condition. In this context use is made of a complete set of seismic records taken from the FEMA P695 database, i.e. all 44 "Far-Field"(22 NS, 22 WE) earthquake signals. The modal estimates are statistically compared to their target values, proving the accuracy of the developed algorithm in providing prompt and accurate estimates of all current strong ground motion modal parameters. At this stage, such analysis tool may be employed for convenient application in the realm of Earthquake Engineering, towards potential Structural Health Monitoring and damage detection purposes. Output-only structural identification is developed by a refined Frequency Domain Decomposition(rFDD) approach, towards assessing current modal properties of heavy-damped buildings(in terms of identification challenge), under strong ground motions. Structural responses from earthquake excitations are taken as input signals for the identification algorithm. A new dedicated computational procedure, based on coupled Chebyshev Type Ⅱ bandpass filters, is outlined for the effective estimation of natural frequencies, mode shapes and modal damping ratios. The identification technique is also coupled with a Gabor Wavelet Transform, resulting in an effective and self-contained time-frequency analysis framework. Simulated response signals generated by shear-type frames(with variable structural features) are used as a necessary validation condition. In this context use is made of a complete set of seismic records taken from the FEMA P695 database, i.e. all 44 "Far-Field"(22 NS, 22 WE) earthquake signals. The modal estimates are statistically compared to their target values, proving the accuracy of the developed algorithm in providing prompt and accurate estimates of all current strong ground motion modal parameters. At this stage, such analysis tool may be employed for convenient application in the realm of Earthquake Engineering, towards potential Structural Health Monitoring and damage detection purposes.
作者 Fabio Pioldi Egidio Rizzi Fabio Pioldi Egidio Rizzi(Department of Engineering and Applied Sciences (Dalmine), University of Bergamo, viale G. Marconi 5, 1-24044 Dalmine (BG), Italy)
出处 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2017年第3期627-648,共22页 地震工程与工程振动(英文刊)
基金 Public research funding from“Fondi di Ricerca d’Ateneo ex 60%” and a ministerial doctoral grant funds at the ISA Doctoral School,University of Bergamo,Department of Engineering and Applied Sciences (Dalmine)
关键词 Operational Modal Analysis (OMA) modal dynamic identification refined Frequency Domain Decomposition(rFDD) FEMA P695 seismic database earthquake response identification input Operational Modal Analysis (OMA) modal dynamic identification refined Frequency Domain Decomposition(rFDD) FEMA P695 seismic database earthquake response identification input
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