Modal analysis and damage localization in plate-type structures via TDD and PE methods based on the data of an integrated highspeed camera system

Cao, Sheng; Nian, Haibo; Yan, Jinwei; Lu, Zhiwen; Xu, Chao

doi:10.1016/j.ymssp.2022.109309

Cited by 10 publications

(7 citation statements)

References 45 publications

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“…The OMA and the SSI techniques served to assess the eigenfrequencies on the basis of the output data of the bridge's response to road traffic only [56]. Then, the Time Domain Decomposition (TDD) method [56,57] was implemented to determine modes of vibration corresponding to the estimated frequencies. Finally, verification with the Modal Assurance Criterion (MAC) [58] proved the high degree of consistency between the modes obtained numerically and experimentally.…”

Section: Experimental and Numerical Evaluation Of Natural Frequencies...mentioning

confidence: 99%

Advanced Model of Spatiotemporal Mining-Induced Kinematic Excitation for Multiple-Support Bridges Based on the Regional Seismicity Characteristics

2022

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In the paper, an advanced model of spatiotemporal mining-induced kinematic excitation (SMIKE) for multiple-support bridges exposed to mining-induced seismicity is proposed. The uniqueness of this model results from the possibility of its application in any region of mining activity, as it is based on empirical regression functions characterizing such regions. In the model, the loss of coherency resulting from the scattering of waves in the heterogeneous ground, the wave-passage effect originating in different arrival times of waves to consecutive supports, and the site-response effect depending on the local soil conditions are taken into account. The loss of coherency of mining-induced seismic waves is obtained by applying a random field generator based on a spatial correlation function to produce time histories of accelerations on consecutive structure supports based on an originally recorded shock. The deterministic approach is used to account for temporal wave variability. The proposed SMIKE model is applied to assess the dynamic performance of a five-span bridge under a mining-induced shock recorded in the Upper Silesian Coal Basin (USCB), Poland. The first model’s parameter (space scale parameter) is identified on the basis of regression curves defined for the USCB region. The estimation of the second parameter (the mean apparent wave passage velocity) is based on discrete experimental data acquired via the vibroseis excitation registered in the in situ experiment. The impact of the model application on the dynamic performance of the bridge is assessed by comparing the dynamic response levels under SMIKE excitations, classic uniform excitations, and the “traveling wave” model—accounting only for the wave passage effect. The influence of wave velocity occurs to be crucial, modifying (either amplifying or reducing, depending on the location of the analyzed point) the dynamic response level up to a factor of two. The introduction of the space scale parameter changes the results by 20% in relation to the outcomes obtained for the “traveling” wave only.

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Section: Experimental and Numerical Evaluation Of Natural Frequencies...mentioning

confidence: 99%

Advanced Model of Spatiotemporal Mining-Induced Kinematic Excitation for Multiple-Support Bridges Based on the Regional Seismicity Characteristics

2022

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“…Adopted spring stiffness, starting from their prediction through literature expressions, was identified through in situ tests that included the installation of a set of accelerometers and signal acquisition that served for the carried out Operational Modal Analysis (OMA) technique [26][27][28][29][30]. The experimental set-up, implemented for the field tests, is shown in Figure 5: (1) all control points were equipped with three piezoelectric high sensitivity (10,000 mV/g) accelerometers 393B12 PCB Piezotronics (wire connected), acting in three directions: (a) the frequency range of accelerometers was from 0.15 to 1000 Hz, (b) data sampling of the signal was 1024 Hz; (2) the measurement points, A1-A5 and B1-B5, were located (Figure 5) on the footbridge slab above each girder.…”

Section: Experimental Set-upmentioning

confidence: 99%

“…The modal parameters of the footbridge were estimated based on the in-operation measurements, considering the auto and cross-correlation of signals [27]. The peak picking method [28] was used to estimate the natural frequencies, while the mode associated with each natural frequency was evaluated through the Time Domain Decomposition (TDD) method [30]. To avoid modes correlated with the same pole of system, the version of Modal Assurance Criterion (MAC) called AutoMAC [31] was used, i.e., the set of experimental modes was verified in terms of similarity and orthogonality of eigenvectors.…”

Section: Experimental Set-upmentioning

confidence: 99%

“…The experimental evaluation of modal parameters of the footbridge was conducted using the Operational Modal Analysis (OMA) techniques [26][27][28][29][30]. Modal identification of the footbridge was realized based on the auto-and cross-correlation function of output-only data collected under in-operation field tests.…”

Section: Experimental Identification Of Modal Parameters Of the Footb...mentioning

confidence: 99%

“…Experimental values of natural frequencies, logarithmic decrements, and damping values are reported in Table 3. The frequencies were obtained on the basis of the estimator, which is the summation of all combinations of cross-spectral density (CSD) functions [27] between the output recorded at each station: the peak picking method [27,30] was used to select the frequencies having the higher CSD values (see Figure 14a). Once the eigenfrequencies were estimated, the Time Domain Decomposition (TDD) method [30] was implemented to determine the corresponding modes, which schematic shapes are reported in Figure 15.…”

Section: Experimental Identification Of Modal Parameters Of the Footb...mentioning

confidence: 99%

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Impact of Dynamic Soil-Structure Interaction on Performance of a Single Span Footbridge with Overhangs Subjected to Mining-Induced Shocks

et al. 2022

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The impact of the dynamic soil-structure interaction (DSSI) on the response of a single-span footbridge to mining-induced shocks was assessed. Firstly, the eigen values, modes and damping of the footbridge were evaluated based on in-operation field tests. Then, natural frequencies were determined numerically by a model usually used in static calculations, i.e., a simple supported beam with overhangs. The numerical natural frequencies turned out to be inconsistent with the experimentally determined values. In turn, the model, assuming the overhangs’ ends translationally restrained, gave natural frequency values closer to the experimental ones. However, for the third mode, that is lateral, the frequency error (~26%) can be considered greater than usually accepted values. Hence, the three-dimensional numerical model of the footbridge was tuned by considering the DSSI between the overhangs and the ground, and implementing springs (in three directions) at the overhangs’ ends. To estimate the impact of DSSI on the dynamic performance of the footbridge, time history analyses were carried out for the model with fixed overhang ends and for the model with additional springs. Two different types of mining-induced tremors were used as excitations. Those two tremors (narrow and wide band) induced different dynamic responses in the models with and without the springs. Hence, the impact of the DSSI on the dynamic footbridge performance needs to be considered to predict the effect of mining-induced shocks.

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Variational mode decomposition framework for modal shape visualization of honeycomb sandwich structures for full-field vibration measurements in non-uniform temperature fields

Peng,

Zhao,

Jiang

et al. 2024

Measurement

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Modal analysis and damage localization in plate-type structures via TDD and PE methods based on the data of an integrated highspeed camera system

Cited by 10 publications

References 45 publications

Advanced Model of Spatiotemporal Mining-Induced Kinematic Excitation for Multiple-Support Bridges Based on the Regional Seismicity Characteristics

Advanced Model of Spatiotemporal Mining-Induced Kinematic Excitation for Multiple-Support Bridges Based on the Regional Seismicity Characteristics

Impact of Dynamic Soil-Structure Interaction on Performance of a Single Span Footbridge with Overhangs Subjected to Mining-Induced Shocks

Variational mode decomposition framework for modal shape visualization of honeycomb sandwich structures for full-field vibration measurements in non-uniform temperature fields

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