A refined Frequency Domain Decomposition tool for structural modal monitoring in earthquake engineering
| العنوان: | A refined Frequency Domain Decomposition tool for structural modal monitoring in earthquake engineering |
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| المؤلفون: | Fabio Pioldi, Egidio Rizzi |
| المصدر: | Earthquake Engineering and Engineering Vibration. 16:627-648 |
| بيانات النشر: | Springer Science and Business Media LLC, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | earthquake response identification input, Earthquake engineering, Engineering, 0211 other engineering and technologies, 020101 civil engineering, Context (language use), 02 engineering and technology, Chebyshev filter, FEMA P695 seismic database, 0201 civil engineering, Earthquake simulation, Modal dynamic identification, Settore ICAR/08 - Scienza delle Costruzioni, Civil and Structural Engineering, 021110 strategic, defence & security studies, business.industry, refined Frequency Domain Decomposition (rFDD), Mechanical Engineering, Operational Modal Analysis (OMA), Building and Construction, Structural engineering, Geotechnical Engineering and Engineering Geology, Strong ground motion, Modal, Structural health monitoring, Frequency domain decomposition, business, Algorithm |
| الوصف: | 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. |
| تدمد: | 1993-503X 1671-3664 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13d0051515307513be5e7eee72c772beTest https://doi.org/10.1007/s11803-017-0394-9Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....13d0051515307513be5e7eee72c772be |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1993503X 16713664 |
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