Experimental structural damage localization in beam structure using spatial continuous wavelet transform and mode shape curvature methods

Janeliukštis, Rims; Ručevskis, Sandris; Wesołowski, Mirosław; Chate, Andris

doi:10.1016/j.measurement.2017.02.005

Cited by 66 publications

(33 citation statements)

References 31 publications

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“…Besides the FDIE methods, various attempts have been made to resolve the singularity problem of the MSC method [17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Online Monitoring of Flexural Damage Index of a Cable‐Stayed Bridge

Kim

2019

Shock and Vibration

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This work introduces a recent application of the online nondestructive damage assessment system into a cable-stayed bridge. A set of ambient modal parameters are automatically extracted every 20 minutes using real-time signal data collected from a total of 26 accelerometers attached on the deck plate of the bridge. Then, a set of modal flexibilities are reconstructed by the combination of the extracted modal parameters with the approximated modal mass of the girder. Next, the curvature of the modal flexibility is approximated by a central difference formula. Finally, the set of flexural damage index equations is constructed by comparing the modal curvature of the damaged state to that of the undamaged state. Solving the overdetermined flexural damage index equations, the desired damage index is finally quantified. The resulting index clearly indicates the location and severity of the potential structural damage on the girder. Based on the overall performance of the implemented health monitoring system, the bridge operator’s damage index control criteria are set to ±20% of the undamaged state.

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“…Besides the FDIE methods, various attempts have been made to resolve the singularity problem of the MSC method [17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Online Monitoring of Flexural Damage Index of a Cable‐Stayed Bridge

Kim

2019

Shock and Vibration

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“…Sudden collapses of bridges worldwide have increased the attention of researchers to the integrity assessment of in-service structures. While visual inspections and non-destructive tests have been widely employed for the safety assessment of structures, because of their shortcomings, many advanced damage identification methods have been developed in the recent decades (Shahsavari et al 2017;Janeliukstis et al 2017). In general, these damage identification methods can be categorized into the time and frequency domain approaches.…”

Section: Introductionmentioning

confidence: 99%

Prediction of strain values in reinforcements and concrete of a RC frame using neural networks

Vafaei

Alih

Shad

et al. 2018

Int J Adv Struct Eng

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The level of strain in structural elements is an important indicator for the presence of damage and its intensity. Considering this fact, often structural health monitoring systems employ strain gauges to measure strains in critical elements. However, because of their sensitivity to the magnetic fields, inadequate long-term durability especially in harsh environments, difficulties in installation on existing structures, and maintenance cost, installation of strain gauges is not always possible for all structural components. Therefore, a reliable method that can accurately estimate strain values in critical structural elements is necessary for damage identification. In this study, a full-scale test was conducted on a planar RC frame to investigate the capability of neural networks for predicting the strain values. Two neural networks each of which having a single hidden layer was trained to relate the measured rotations and vertical displacements of the frame to the strain values measured at different locations of the frame. Results of trained neural networks indicated that they accurately estimated the strain values both in reinforcements and concrete. In addition, the trained neural networks were capable of predicting strains for the unseen input data set.

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“…6 In general, static and dynamic measurements of a structure are adopted as objective responses for damage assessment. [7][8][9][10][11][12] Static testing can straightly reflect the current stiffness or resistance ability of the structure and thus is often used for the evaluation of bridges. Displacements or deflections are first options, and a model updating procedure or parametric study 7 can be employed for assessment.…”

Section: Introductionmentioning

confidence: 99%

“…Modal properties such as frequencies, mode shapes and frequency response functions are most commonly used to construct damage indices. 9,10 Time-history properties such as wavelet functions play an important role as well in damage assessment 11 since damage features can be directly extracted from the decompositions of response signals. Furthermore, multi-scale structural damage identification using both static and dynamic measurements is an alternative option with the aid of multi-objective optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

Non-model based structural damage assessment using improved analytical redundancy relations

Fang

Bao

2018

Journal of Low Frequency Noise, Vibration and Active Control

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A damage assessment problem can be stated as a constraint satisfaction problem utilizing the translational and rotational displacements of a structure as measurements. By this means, usual numerical models are no longer required for a damage assessment, which considerably simplifies the solution process. In order to avoid the use of rotational displacements that are difficult to measure in practice, an improved analytical redundancy reduction method has been developed in which rotational displacements are replaced by translational ones. Moreover, some constraint equation positions in the decomposition of a static equilibrium matrix are exchanged according to their association with pre-assumed damaged elements. Then damage is located according to the changes in the relevant constraints of specific elements or substructures. Besides, the deviation increments of improved analytical redundancy reduction can embody the stiffness changes of the damaged elements. The proposed improved analytical redundancy reduction method was validated using both numerical and experimental steel box beams under static loads. The damage assessment results demonstrate the superiority of the improved analytical redundancy reduction method over the constraint satisfaction problem and analytical redundancy reduction methods.

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Experimental structural damage localization in beam structure using spatial continuous wavelet transform and mode shape curvature methods

Cited by 66 publications

References 31 publications

Online Monitoring of Flexural Damage Index of a Cable‐Stayed Bridge

Online Monitoring of Flexural Damage Index of a Cable‐Stayed Bridge

Prediction of strain values in reinforcements and concrete of a RC frame using neural networks

Non-model based structural damage assessment using improved analytical redundancy relations

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