Damage Assessment from the Dynamic Response of Deteriorating Structures

Brancaleoni, Fabio; Spina, Daniele; Valente, C.

doi:10.1007/978-3-322-89467-0_16

Cited by 7 publications

(7 citation statements)

References 2 publications

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“…Brancaleoni et al (1993) and Feldman and Braun (1995) have tried to use it in damage detection with some limited success. As Wigner-Ville distribution is also Fourier-based, it suffers all the shortcomings of the Fourier analysis.…”

Section: Data-processing Methodsmentioning

confidence: 98%

“…Although Prime and Shevitz (1996) and Feldman (1997) used Hilbert transforms to identify some of the nonlinear characteristics through the frequency modulation in a nonlinear structure, the limitations imposed on the data properties render the method of little practical use in both identifying and locating the damage. Among all the Hilbert transform applications, the most relevant one was due to Brancaleoni et al (1993) who has employed a transient load over a damaged bridge. Confronted by the limitations of a straightforward application of the Hilbert transform to arbitrary data (as discussed by Huang et al 1998d), Brancaleoni et al resorted to filtering of the data to separate the data into different modes.…”

Section: Data-processing Methodsmentioning

confidence: 99%

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HHT-Based Bridge Structural Health-Monitoring Method

Huang

Chiang³

2005

Hilbert-Huang Transform and Its Applications

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A new Hilbert-Huang transform (HHT)-based method for nondestructive instrument structure health monitoring is developed. When applied to bridges, this new method depends on a transient test load and simple data collection. The essense of the method is the newly developed HHT for nonstationary and nonlinear time series analysis, which consists of the empirical mode decomposition and Hilbert spectral analysis. The final decision on the health of the bridge structure is based on two criteria. The first criterion detects the nonlinear characteristic of the intra-wave frequency modulations of the bridge response, which usually appears during comparisons of light with heavy loads. The second criterion detects the frequency downshift as an indication of structural yield. This new method enjoys many advantages: no a priori data required, simple data collection, minimum traffic disruption, and precise and nuance quantitative answers. The result of a case study is presented, which establishes the feasibility of this new approach for structural health monitoring. IntroductionWith the inevitable aging of civil infrastructures, structural health monitoring has become an urgent problem worldwide (Chang 1997(Chang , 1999(Chang , 2001. To safeguard the safety performance of a bridge, regular inspections are essential (see, for example, Mori and Ellingwood 1994a,b). At the present time, the inspection method is primarily visual: a technician has t o go through a bridge t o examine each member and certify its safety. This method is subjective and flawed, lacking rigorous and objective standards. For example, for a bridge deteriorating from fatigue or aging, the damage is not clear-cut at any time. Therefore, any call is judgmental. Furthermore, using this method for complicated bridge structures is not feasible: some members might be located at positions too awkward t o access; the members might require too much time t o inspect; and the damage might be too subtle t o be detected visually. Because of these limitations, the visual-inspection results are known to be not totally reliable, yet we are forced to rely on them today.According t o Doebling e t al. (1996, 1998), a n ideal inspection method would have t o satisfy the following conditions:(1) be robust, objective, and reliable, 263 Hilbert-Huang Transform and Its Applications Downloaded from www.worldscientific.com by UNIVERSITY OF QUEENSLAND on 10/04/15. For personal use only.

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Section: Data-processing Methodsmentioning

confidence: 98%

Section: Data-processing Methodsmentioning

confidence: 99%

HHT-Based Bridge Structural Health-Monitoring Method

Huang

Chiang³

2005

Hilbert-Huang Transform and Its Applications

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“…There exist dierent time and frequency domain damping estimation techniques, as summarized in references [23] and [24]. A combined time±frequency approach makes possible the use of the Wigner±Ville distribution [25] and Gabor transform [17]. More recently, three dierent techniques based on wavelets have been proposed to estimate damping [26].…”

Section: Damping Estimation Proceduresmentioning

confidence: 99%

“…The ®rst approach is similar to the classical procedure based on the instantaneous signal characteristics of the impulse response function [25,23]. It is well known that the impulse response function for a single mode can be represented in terms of the exponentially decaying envelope At and the instantaneous phase 0t given by…”

Section: Damping Estimation Proceduresmentioning

confidence: 99%

Analysis of non-linear systems using wavelets

Staszewski

2000

Proceedings of the Institution of Mechanical Engineers, Part C:

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Analysis of non-linear systems is an essential part of engineering structural dynamics. A number of methods have been developed in recent years. Classical Fourier-based methods have been extended to the use of phase plane, combined time-frequency, time-scale approaches and multidimensional spectra. This paper is an attempt to collate in one place some of the recent advances in wavelet analysis for the study of non-linear systems. This includes methods related to system identification based on wavelet ridges and skeletons, damping estimation procedures, wavelet-based frequency response functions, cross-wavelet analysis, self-similar signals, coherent structures and chaos.

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“…if x(t) is applied at point D1, and the responses DX(t) are given by sensors at points D1. A matrix H, indicating the locations (and eventually the sensitivity) of sensors, has to be introduced: y=H•u (3) Matrix H is usually rectangular. Excitation and response are given by:…”

Section: Nonlinear Oscillationsmentioning

confidence: 99%

<title>Vibratory signature of electric pylons under impulse testing</title>

1995

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A nondestructive vibratory technique has been used to record the vibratory signature of electric pylons. It evidences the principal modes of vibrations. The vibration magnitude depends on the impact location and the loading amplitude. The appearance of energy dissipation mechanisms, corresponding to a damaging process, is readily detected by a change of characteristics of the recorded acceleration signals. A method based on Volterra series provides a ready mean to analyze the nonlinear response and permits to monitor the durability of the pylon in service. The presented technique relies on the evaluation of a scalar called "nonlinear contrast", indicating the significance of nonlinear behavior of the structure under impact loading, in comparison with a reference state. The calculation requires the identification of Volterra kernels through a multi-amplitude procedure. The fact that an unscrewed bolt has been evidenced, shows that this technique is very sensitive. The second major experimental result is that the nonlinear contrast appears to be independent on the accelerometer location and direction.

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Damage Assessment from the Dynamic Response of Deteriorating Structures

Cited by 7 publications

References 2 publications

HHT-Based Bridge Structural Health-Monitoring Method

HHT-Based Bridge Structural Health-Monitoring Method

Analysis of non-linear systems using wavelets

<title>Vibratory signature of electric pylons under impulse testing</title>

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