Modal Identification of Tsing Ma Bridge by Using Improved Eigensystem Realization Algorithm

Qin, Qiaoping; Li, H.B.; Li, Qian; Lau, C. K.

doi:10.1006/jsvi.2001.3751

Cited by 36 publications

(9 citation statements)

References 4 publications

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“…One effective approach based on band-pass filter and EMD is proposed to extract quite close monocomponent of modal response and to remove all of the noises outside the frequency range 12). If we apply above method to make process the signal with n components defined by Equation (1) , the i-th component can be approximately expressed as (9) By applying Hilbert transform to ci(t) , the i-th mode response can also be expressed in the form of complex-valued signal as (10) where the Hilbert transform of ci (t) denoted by yi(t) , is determined by (11) With the definition in Equation 11, applying the Hilbert transform to each IMF component ci (t) in Equation (9), the original data x(t) can be written as the real part of the sum of the Hilbert transforms of all the IMF components excluding the residual part, i. e. (12) which illustrates that the signal can be represented in terms of instantaneous amplitude ai(t) and frequency f'i(t) as functions of time. It also indicates that the EMD has the same capability to decompose a multicomponent signal to single modes in the form of complex-valued signals as wavelet does in Equation (7).…”

Section: Empirical Mode Decomposition and Hilbert Transformmentioning

confidence: 99%

A comparison of wavelet transform and Hilbert-Huang transform for modal parameter extraction of structure

Yan

Miyamoto

Goto

2004

Journal of applied mechanics

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This paper presents the use of time-frequency decomposition based on two novel methods termed wavelet transform (WT) and Hilbert-Huang transform (HHT) for modal parameter extraction of structure. The impacts of modal separation, end effects, and noise levels on the time-frequency resolutions of these two approaches are investigated and compared by using numerical simulations. To verify their effectiveness on the real structure, an experimental study is implemented on a bridge model subjected to impact load and ambient vehicle loadings. The parameter identification results demonstrate that both the WT and HHT are effective as the time-frequency resolutions are given sufficient concerns, whereas from the viewpoints of parameter selection and quantitative analysis, in some sense, the WT method seems to be more theoretical and efficient than the HHT.

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Section: Empirical Mode Decomposition and Hilbert Transformmentioning

confidence: 99%

A comparison of wavelet transform and Hilbert-Huang transform for modal parameter extraction of structure

Yan

Miyamoto

Goto

2004

Journal of applied mechanics

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“…The eigensystem realization algorithm is another method of output-only modal analysis [13]. It is based on dynamical model reduction, and it was used in 1985 for an investigation on Galileo aerospace and also has been used several times for modal analysis of bridges [14]. The other recent addition to the time domain output-only family is the smooth orthogonal decomposition (SOD) method which does not need the mass matrix a priori [12].…”

Section: Introductionmentioning

confidence: 99%

Development of "modal analysis free vibration response only" method for randomly excited systems

2015

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Modal analysis free vibration response only (MAFVRO) is one of the output-only modal analysis methods which is able to determine the modal parameters of a vibration system by the free vibration responses. However, most of the vibrating systems are subjected to random excitations, and in such cases, the traditional MAFVRO cannot extract the modal parameters. In this study, the traditional MAFVRO method has been developed to randomly excited vibration systems by using some modifications. In order to verify the accuracy of modified MAFVRO, this method is applied to vibration analysis of a cantilever beam and a vehicle suspension system which are subjected to the random white noise excitation. The estimated results are compared with the exact solution obtained from the structural eigenvalue problem. Comparing the results reveals that the developed method can estimate the natural frequencies and mode shapes of a randomly excited system with a good accuracy. In addition, the effect of the measurement noise on the estimated modal parameters is investigated.

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“…Recently, with the development of large span bridges, more and more researches have focused on the structural health monitoring of bridges. Qin et al (2001) discussed modal identification of the Tsing Ma Bridge in the time domain from ambient acceleration response data. The modes were identified group by group and assembled by using response accelerations acquired at reference points to form modes of the whole bridge.…”

Section: Introductionmentioning

confidence: 99%

New damage-locating method for bridges subjected to a moving load

Liu

Guo

et al. 2007

J Ocean Univ. China

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A new damage-locating method for bridges subjected to a moving load is presented, and a new 'moving load damage-locating indicator' (MLDI) is introduced. A vehicle is modeled as a moving load, the bridge is simplified as an Euler-Bernoulli beam, and the damage is simulated by a reduction of stiffness properties of the elements. The curvature and MLDI values at each node of the baseline model (undamaged) and the damage model are computed respectively. Then the damage or damages can be located from a sudden change of the MLDI value. The feasibility and effectiveness of the proposed method are validated by numerical simulation. The results indicate that the method is effective, being able to not only locate a single damage accurately, but also locate multiple damages in simply-supported bridges, including multiple damages in continuous bridges. The results also indicate that the MLDI can accurately locate damages under 5% measurement noise.

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Modal Identification of Tsing Ma Bridge by Using Improved Eigensystem Realization Algorithm

Cited by 36 publications

References 4 publications

A comparison of wavelet transform and Hilbert-Huang transform for modal parameter extraction of structure

A comparison of wavelet transform and Hilbert-Huang transform for modal parameter extraction of structure

Development of "modal analysis free vibration response only" method for randomly excited systems

New damage-locating method for bridges subjected to a moving load

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