Signal versus Noise in Damage Detection by Experimental Modal Analysis

Alampalli, Sreenivas; Fu, Gongkang; Dillon, E W

doi:10.1061/(asce)0733-9445(1997)123:2(237)

Cited by 72 publications

(35 citation statements)

References 3 publications

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“…All these improvements notwithstanding, the real test of bridges and large structures by using modal analysis still presents great problems (Alampalli et al 1997;Juneja et al 1997). Even with good reference data, the noise from the real system and measurements can still cloud the picture and render the detection and location of the damage difficult.…”

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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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: 99%

HHT-Based Bridge Structural Health-Monitoring Method

Huang

Chiang³

2005

Hilbert-Huang Transform and Its Applications

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“…The POM obtained from the PODs effectively extracts the principal component of a large DOF system or complex physical phenomena. The POD is used in utilizing the context of turbulence to extract coherent structures [5], detecting the number of signals in a multichannel time-series [6], capturing the modes of a reaction-diffusion chemical process [7] and describing quantitative changes in spatial complexity during extended episodes of ventricular fibrillation [8]. And the method can be applied in obtaining reduced-order models of unsteady viscous flows [9], forecasting in meteorology [8] and classifying speech data [10].…”

Section: Introductionmentioning

confidence: 99%

Damage Detection Using Output-only Measurement by Indirect Approach

Ahn¹,

Lee²,

Dong-Ho³

et al. 2015

Advanced Science and Technology Letters

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Abstract. Indirect measurement method doesn't require a number of sensors and a large amount of labor. It is necessary to evaluate the comparable applicability to the direct measurement approach. This study investigates the validity of damage detection method using output-only measurement by indirect approach. The damage is detected using the curvature of power spectral density evaluation and proper orthogonal modes (POMs) of the responses data collected by experiments. The sensitivity of damage detection using time response and frequency response is compared through the beam test. It is illustrated in experiments that the indirect method can be widely utilized despite of the existence of external noise.

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“…During the past several decades, a significant amount of research has been conducted in the area of structural damage detection (Doebling, 1998;Pandey, 1991;Sovoz, 2008;Yoon, 2010;Shih, 2009;Rucevskis, 2009;Adewuyi, 2009;Alampalli, 1997;Cruz, 2008).…”

Section: Introductionmentioning

confidence: 99%

Damage Detection at Welded Joint of Two-Dimensional Plane Model

Chung¹,

Eun

Seo³

2011

Architectural research

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Damage detection algorithms based on a one-dimensional beam model can detect damage within a beam span caused by flexure only but cannot detect damage at a joint with prescribed boundary conditions or at the middle part of a beam section where the neutral axis is located. Considering the damage at a welded joint of beam elements in steel structures and modeling the damage with twodimensional plane elements, this study presents a new approach to detecting damage in the depth direction of the joint and beam section. Three damage scenarios at the upper, middle, and lower parts of a welded joint of a rectangular symmetric section are investigated. The damage is detected by evaluating the difference in the receptance magnitude between the undamaged and damaged states. This study also investigates the effect of measurement locations and noise on the capability of the method in detecting damage. The numerical results show the validity of the proposed method in detecting damage at the beam' s welded joint.

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Signal versus Noise in Damage Detection by Experimental Modal Analysis

Cited by 72 publications

References 3 publications

HHT-Based Bridge Structural Health-Monitoring Method

HHT-Based Bridge Structural Health-Monitoring Method

Damage Detection Using Output-only Measurement by Indirect Approach

Damage Detection at Welded Joint of Two-Dimensional Plane Model

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