Parametric identification of asymmetric buildings from earthquake response records

Lin, Chun-Liang; Hong, Li; Ueng, Jin-Min; Wu, Kuo-Cheng; Wang, C. E.

doi:10.1088/0964-1726/14/4/045

Cited by 32 publications

(18 citation statements)

References 14 publications

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“…Moreover, the proposed method only requires small numbers of response measurements, no need of input excitation measurements and simple to implement to online calculations. Lin et al (2005) also used the RD method together with the ITD technique to identify the modal parameters of an asymmetric building based only on few floor acceleration response records from earthquakes. Through the results obtained from simulation data from a fi ve-storey building under the 1940 El Centro earthquake and actual records from a seven-storey RC school building in northeastern Taiwan, the proposed system identification technique was proved capable of identifying structural dominant modal parameters and responses accurately even with highly coupled modes and high levels of noise contamination.…”

Section: Ibrahim Time Domain Techniquementioning

confidence: 99%

“…With this method, the natural frequencies and damping ratios can be easily identifi ed with the structural response measured at any DOF, moreover, the mass, damping and stiffness matrices of the structure can also be determined if the response at all DOF is available. Lin et al (2005) presented the application of HHT to the phase II ASCE benchmark building for the complete identifi cation of stiffness and damping coeffi cients, furthermore, performed the damage assessment of the benchmark building, which represents a possible damage detection technique for linear structures.…”

Section: Hilbert-huang Transformmentioning

confidence: 99%

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A study of variability and applicability of various signal processing techniques in structural system identification

Bao

Hao

Li³

2013

AJSE

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The structural responses and vibration properties such as frequencies and mode shapes are directly related to the structural mass and stiffness. Changing structural conditions will affect the structural responses and vibration properties. Structural conditions can thus be identifi ed through measurements of structural vibration. However, certain uncertainties associated with structure models, changing ambient environmental conditions, changing loading conditions, equipment noises and various signal processing techniques used in extracting structural vibration properties, etc. is inevitable. The infl uences of these uncertainties on structural vibration properties might be more signifi cant than that of the structural damage, therefore, cause false identifi cation or result in the true structural damage not identifi able. This paper studies the applicability and reliability of a few popularly used modal identifi cation methods including time-domain, frequencydomain and time-frequency domain methods for civil structural system identifi cation. The results indicate that on average a 2% to 3% error tends to be yielded by using different signal processing techniques for vibration frequencies identifi cation when the signal is not heavily noise contaminated, which should be taken into account when estimating the damage detection results. The applicability of the time-frequency domain methods to the identifi cation of time-varying system either with sudden change or continuous variance is also discussed.

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Section: Ibrahim Time Domain Techniquementioning

confidence: 99%

Section: Hilbert-huang Transformmentioning

confidence: 99%

A study of variability and applicability of various signal processing techniques in structural system identification

Bao

Hao

Li³

2013

AJSE

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“…In the field of Operational Modal Analysis (OMA), some researchers have investigated the use of strong ground motions in the Time Domain, as for instance. [20][21][22][23][24][25][26][27][28][29] Rather, the output-only analysis in the Frequency Domain looks quite shortfall in the earthquake engineering range, especially as concerning to nonparametric algorithms (as Frequency Domain Decomposition (FDD) is). Few notable exceptions come from previous studies.…”

Section: Introductionmentioning

confidence: 99%

Seismic FDD modal identification and monitoring of building properties from real strong-motion structural response signals

Pioldi

Ferrari

Rizzi

2017

Struct Control Health Monit

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Summary In the present study, output‐only modal dynamic identification and monitoring of building properties is attempted successfully by processing real earthquake‐induced structural response signals. This is achieved through an enhanced version of a recently‐developed refined Frequency Domain Decomposition (rFDD) approach, which in the earlier implementation was adopted to analyse synthetic seismic response signals only. Despite that short duration, nonstationary seismic response data and heavy structural damping shall not fulfil traditional Operational Modal Analysis assumptions, the present rFDD response‐only algorithm allows for the effective estimation of strong‐motion natural frequencies, mode shapes, and modal damping ratios, with real seismic response signals. The present rFDD enhancement derives from a preprocessing time‐frequency analysis and from an integrated approach for Power Spectral Density matrix computation, which constitute crucial innovative issues for the treatment of real earthquake response data. A monitoring case study is analysed by taking the real strong‐motion response records from a seven‐storey reinforced concrete building in Van Nuys, California, from 1987 to the latest 2014 events (Center of Engineering Strong Motion Data database), as recorded before, during and after the 1994 Northridge earthquake, which severely damaged the building (then retrofitted). This paper proves the effectiveness of the proposed enhanced rFDD algorithm as a robust method for monitoring current structural modal properties under real earthquake excitations. This shall allow for identifying possible variations of structural features along experienced seismic histories, providing then a fundamental tool towards Earthquake Engineering and Structural Health Monitoring purposes.

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“…The vector RD method by using a vector triggering condition to more efficiently compute free decays from random responses. Furthermore, the Ibrahim time-domain (ITD) identification technique [3] is adopted to obtain natural frequencies and damping ratios. The aim is to determine the dynamic characteristics of the bridge from ambient vibration under normal traffic load.…”

Section: Introductionmentioning

confidence: 99%

Dynamic characteristics of a cable-stayed bridge measured from traffic-induced vibrations

Wang¹,

Chen²

2012

AIP Conference Proceedings

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This paper studies the dynamic characteristics of the Kao-Ping-Hsi cable-stayed bridge under daily traffic conditions. Experimental data were measured from a structural monitoring system, and system-identification techniques, such as the random decrement (RD) technique and Ibrahim time-domain (ITD) method, were adopted. The first five modes of the bridge were identified for their natural frequencies and damping ratios under different traffic loading conditions, in terms of root-mean-square (RMS) deck velocities. The magnitude of the torsion mode of the Kao-Ping-Hsi cable-stayed bridge is found to be one order-of-magnitude less than the transfer mode, and two orders-of-magnitude less than the vertical modes. Out results indicated that vibrations induced by traffic flow can be used as an indicator to monitor the health of the bridge due to their insensitivity to the natural frequencies of the cable-stayed bridge. Furthermore, the damping ratios may be used as a more sensitive indicator to describe the condition of the bridge.

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Parametric identification of asymmetric buildings from earthquake response records

Cited by 32 publications

References 14 publications

A study of variability and applicability of various signal processing techniques in structural system identification

A study of variability and applicability of various signal processing techniques in structural system identification

Seismic FDD modal identification and monitoring of building properties from real strong-motion structural response signals

Dynamic characteristics of a cable-stayed bridge measured from traffic-induced vibrations

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