Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildings

Jiang, Xiang; Adeli, Hojjat

doi:10.1002/nme.1964

Cited by 230 publications

(159 citation statements)

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“…In a more general case, a set of 7(= 2 + 3 + 2) adequate displacements is needed to specify every displacement in this structure. Assume {w 1 , w 3 }, {w 8 w 15 , w 19 ). This forms an underdetermined system with four equations and seven unknowns ({w 1 , w 3 , w 8 , v 9 , w 11 , w 15 , and w 19 }).…”

Section: Examplementioning

confidence: 99%

“…A comprehensive description and the associated categories of SSI are provided in the technical report of the American Society of Civil Engineers. [1] These categories include static [2][3][4][5][6][7] and dynamic excitations, [8][9][10][11][12][13][14] parametric [3,5] and non-parametric models, [8,[15][16][17] deterministic [2,[4][5][6]9,18,19] and probabilistic approaches. [10,[20][21][22][23][24] For both static and dynamic SSI methods, structural responses have to be measured to provide the necessary information.…”

Section: Introductionmentioning

confidence: 99%

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Static structural system identification for beam-like structures using compatibility conditions

Lei

Coderque

2017

Struct Control Health Monit

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SummaryDue to the inevitable noise existing in the measured responses, structural system identification is often a challenging task in terms of the accuracy of the estimations. Structural system identification by the observability method, which is characterized by the analysis of null spaces, is a powerful tool to determine the observability of structural parameters. However, it did not cope well with measurement errors so far. In this paper, for the first time, functional relations among displacements, denoted by the term compatibility conditions, in beam-like structures are derived by the observability method. Then, compatibility conditions are imposed in an optimization procedure to minimize the discrepancy between the measured response and the compatible one. The compatible response obtained by the optimization is used to obtain the final estimations of the parameters. In a simply supported bridge example, the proposed method is thoroughly evaluated regarding the number of measurements, error levels, and load cases. In an example of a continuous bridge, different load cases are used to estimate the bending stiffnesses of different zones. The accuracy and the efficacy of the proposed method are verified by the numerical results.

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Section: Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Static structural system identification for beam-like structures using compatibility conditions

Lei

Coderque

2017

Struct Control Health Monit

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“…In this regard, the estimation of modal parameters, such as natural frequencies and damping ratios, of civil structures has become an important tool because they can reflect their dynamic behavior under natural and artificial excitations. Modal parameters are widely used in applications such as seismic design for civil and earthquake engineering [1][2][3], vibration control [4], condition and damage assessment [5][6][7], and development or update of analytical models [8,9]. Hence, their accurate estimation allows providing more reliable and suitable information of the structure, improving the performance and results of the aforementioned applications.…”

Section: Introductionmentioning

confidence: 99%

A Two-Step Strategy for System Identification of Civil Structures for Structural Health Monitoring Using Wavelet Transform and Genetic Algorithms

et al. 2017

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Nowadays, the accurate identification of natural frequencies and damping ratios play an important role in smart civil engineering, since they can be used for seismic design, vibration control, and condition assessment, among others. To achieve it in practical way, it is required to instrument the structure and apply techniques which are able to deal with noise-corrupted and non-linear signals, as they are common features in real-life civil structures. In this article, a two-step strategy is proposed for performing accurate modal parameters identification in an automated manner. In the first step, it is obtained and decomposed the measured signals using the natural excitation technique and the synchrosqueezed wavelet transform, respectively. Then, the second step estimates the modal parameters by solving an optimization problem employing a genetic algorithm-based approach, where the micropopulation concept is used to improve the speed convergence as well as the accuracy of the estimated values. The accuracy and effectiveness of the proposal are tested using both the simulated response of a benchmark structure and the measurements of a real eight-story building. The obtained results show that the proposed strategy can estimate the modal parameters accurately, indicating than the proposal can be considered as an alternative to perform the abovementioned task.

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“…This technique presents great advantages in comparison with the aforementioned techniques because it produces a high-resolution spectral estimation even for the data with low signal-to-noise ratio (SNR) (high noise). Also, ST-MUSIC technique provides more regular surfaces, mitigates the effects of noise, and shows only larger frequency components compared with the conventional fast Fourier transform (FFT) (Jiang & Adeli 2007), making it a suitable tool for detecting preseismic anomalies from ULF geomagnetic signals.…”

Section: Introductionmentioning

confidence: 99%

Novel ST-MUSIC-based spectral analysis for detection of ULF geomagnetic signals anomalies associated with seismic events in Mexico

Chavez

Amezquita-Sanchez

Valtierra-Rodríguez

et al. 2015

Geomatics, Natural Hazards and Risk

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(2016) Novel ST-MUSIC-based spectral analysis for detection of ULF geomagnetic signals anomalies associated with seismic events in Mexico, Geomatics, Natural Hazards and Risk, 7:3, 1162-1174, DOI: 10.1080/19475705.2015 Recently, the analysis of ultra-low-frequency (ULF) geomagnetic signals in order to detect seismic anomalies has been reported in several works. Yet, they, although having promising results, present problems for their detection since these anomalies are generally too much weak and embedded in high noise levels. In this work, a short-time multiple signal classification (ST-MUSIC), which is a technique with high-frequency resolution and noise immunity, is proposed for the detection of seismic anomalies in the ULF geomagnetic signals. Besides, the energy (E) of geomagnetic signals processed by ST-MUSIC is also presented as a complementary parameter to measure the fluctuations between seismic activity and seismic calm period. The usefulness and effectiveness of the proposal are demonstrated through the analysis of a synthetic signal and five real signals with earthquakes. The analysed ULF geomagnetic signals have been obtained using a tri-axial fluxgate magnetometer at the Juriquilla station, which is localized in Queretaro, Mexico (geographic coordinates: longitude 100.45 E and latitude 20.70 N). The results obtained show the detection of seismic perturbations before, during, and after the main shock, making the proposal a suitable tool for detecting seismic precursors.

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Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildings

Cited by 230 publications

References 50 publications

Static structural system identification for beam-like structures using compatibility conditions

Static structural system identification for beam-like structures using compatibility conditions

A Two-Step Strategy for System Identification of Civil Structures for Structural Health Monitoring Using Wavelet Transform and Genetic Algorithms

Novel ST-MUSIC-based spectral analysis for detection of ULF geomagnetic signals anomalies associated with seismic events in Mexico

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