Damage detection and quantification in deck type arch bridges using vibration based methods and artificial neural networks

Article

Jayasundara, N., Thambiratnam, D. P., Chan, T. H. T. and Nguyen, A.. 2020. "Damage detection and quantification in deck type arch bridges using vibration based methods and artificial neural networks." Engineering Failure Analysis. 109, pp. 1-19. https://doi.org/10.1016/j.engfailanal.2019.104265
Article Title

Damage detection and quantification in deck type arch bridges using vibration based methods and artificial neural networks

ERA Journal ID3667
Article CategoryArticle
AuthorsJayasundara, N. (Author), Thambiratnam, D. P. (Author), Chan, T. H. T. (Author) and Nguyen, A. (Author)
Journal TitleEngineering Failure Analysis
Journal Citation109, pp. 1-19
Article Number104265
Number of Pages19
Year2020
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN1350-6307
1873-1961
Digital Object Identifier (DOI)https://doi.org/10.1016/j.engfailanal.2019.104265
Web Address (URL)https://www.sciencedirect.com/science/article/abs/pii/S1350630719302481
Abstract

Vibration based methods can be used to detect damage in a structure as its vibration characteristics change with physical changes in the structure. Extensive research has been carried out on the use of such methods to detect damage in a number of simple and some complex structures. Arch bridge is a popular type of bridge with rather complex vibration characteristics which pose a challenge for using existing vibration based methods to detect damage in them. Further, its complex form of damage detection, even with modified vibration based methods makes the quantification process harder and challenging. This paper develops and applies a vibration based method especially suited for arch bridges to detect, locate and quantify damages in the structural components. In the proposed method, modified forms of the modal flexibility (MMF) and modal strain energy (MMSE) based damage indices coupled with the Artificial Neural Network (ANN) technology is used to provide an overall damage assessment. The procedure to detect and locate damage was experimentally validated and applied to a full scale long span arch bridge under a range of damage scenarios. Damage indices obtained from noise polluted vibration data are then used as input data for training and validation of the neural networks. Two neural networks were trained separately using MMF and MMSE damage indices and a network fusion approach is used to obtain unambiguous and accurate results for detecting, locating and quantifying damages. The trained neural network system was then successfully applied to identify unknown damages using only vibration data of damaged structural elements of arch bridges. The findings of this paper will contribute towards the safe and efficient operation of arch type bridges.

Keywordsbridge failures; arch bridges; vibration based damage detection (VBDD); artificial neural networks (ANN); non-destructive testing
ANZSRC Field of Research 2020400508. Infrastructure engineering and asset management
400510. Structural engineering
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Byline AffiliationsQueensland University of Technology
School of Civil Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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Nguyen, Theanh, Chan, Tommy H. T., Thambiratnam, David P. and King, Les. 2015. "Development of a cost-effective and flexible vibration DAQ system for long-term continuous structural health monitoring." Mechanical Systems and Signal Processing. 64-65, pp. 313-324. https://doi.org/10.1016/j.ymssp.2015.04.003
Synergic identification of prestress force and moving load on prestressed concrete beam based on virtual distortion method
Xiang, Ziru, Chan, Tommy H. T., Thambiratnam, David P. and Nguyen, Theanh. 2016. "Synergic identification of prestress force and moving load on prestressed concrete beam based on virtual distortion method." Smart Structures and Systems. 17 (6), pp. 917-933. https://doi.org/10.12989/sss.2016.17.6.917
Structural Deterioration Detection Using Enhanced Autoregressive Residuals
Monavari, Benyamin, Chan, Tommy H. T., Nguyen, Andy and Thambiratnam, David P.. 2018. "Structural Deterioration Detection Using Enhanced Autoregressive Residuals." International Journal of Structural Stability and Dynamics. 18 (12), pp. 1-19. https://doi.org/10.1142/S0219455418501602
Model updating incorporating measured response uncertainties and confidence levels of tuning parameters
Kodikara, K.A. Tharindu L., Chan, Tommy H.T., Nguyen, Andy and Thambiratnam, David P.. 2016. "Model updating incorporating measured response uncertainties and confidence levels of tuning parameters." International Journal of Lifecycle Performance Engineering. 2 (1/2), pp. 61-78. https://doi.org/10.1504/IJLCPE.2016.082712
Prestress evaluation in prestressed concrete plate-like structures
Pathirage, Thisara S., Chan, Tommy H. T., Thambiratnam, David P., Nguyen, Andy and Moragaspitiya, H. N. P.. 2018. "Prestress evaluation in prestressed concrete plate-like structures." International Journal of Lifecycle Performance Engineering. 2 (3/4), pp. 127-143. https://doi.org/10.1504/IJLCPE.2018.094855
Damage identification in a complex truss structure using modal characteristics correlation method and sensitivity-weighted search space
Nguyen, Khac-Duy, Chan, Tommy H. T., Thambiratnam, David P. and Nguyen, Andy. 2019. "Damage identification in a complex truss structure using modal characteristics correlation method and sensitivity-weighted search space." Structural Health Monitoring: an international journal. 18 (1), pp. 49-65. https://doi.org/10.1177/1475921718809471
Reliability-based load carrying capacity assessment of bridges using structural health monitoring and nonlinear analysis
Jamali, Shojaeddin, Chan, Tommy H. T., Nguyen, Andy and Thambiratnam, David P.. 2019. "Reliability-based load carrying capacity assessment of bridges using structural health monitoring and nonlinear analysis." Structural Health Monitoring: an international journal. 18 (1), pp. 20-34. https://doi.org/10.1177/1475921718808462
Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data
Nguyen, Andy, Kodikara, K. A. Tharindu Lakshitha, Chan, Tommy H. T. and Thambiratnam, David P.. 2019. "Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data." Structural Health Monitoring: an international journal. 18 (1), pp. 5-19. https://doi.org/10.1177/1475921718799984
Vibration characteristics and damage detection in a suspension bridge
Wickramasinghe, Wasanthi R., Thambiratnam, David P., Chan, Tommy H. T. and Nguyen, Theanh. 2016. "Vibration characteristics and damage detection in a suspension bridge." Journal of Sound and Vibration. 375, pp. 254-274. https://doi.org/10.1016/j.jsv.2016.04.025
Capacity Estimation of Beam-Like Structures Using Substructural Method
Jamali, Shojaeddin, Chan, Tommy H. T., Koo, Ki-Young, Nguyen, Andy and Thambiratnam, David P.. 2018. "Capacity Estimation of Beam-Like Structures Using Substructural Method." International Journal of Structural Stability and Dynamics. 18 (12), pp. 1-17. https://doi.org/10.1142/S0219455418501626
Moving force identification based on modified preconditioned conjugate gradient method
Chen, Zhen, Chan, Tommy H. T. and Nguyen, Andy. 2018. "Moving force identification based on modified preconditioned conjugate gradient method." Journal of Sound and Vibration. 423, pp. 100-117. https://doi.org/10.1016/j.jsv.2017.11.034
Method development of damage detection in asymmetric buildings
Wang, Yi, Thambiratnam, David P., Chan, Tommy H.T. and Nguyen, Andy. 2018. "Method development of damage detection in asymmetric buildings." Journal of Sound and Vibration. 413, pp. 41-56. https://doi.org/10.1016/j.jsv.2017.10.015
Prestress and excitation force identification in a prestressed concrete box–girder bridge
Xiang, Ziru, Chan, Tommy H. T., Thambiratnam, David P. and Nguyen, Andy. 2017. "Prestress and excitation force identification in a prestressed concrete box–girder bridge." Computers and Concrete. 20 (5), pp. 617-625. https://doi.org/10.12989/cac.2017.20.5.617
Toward effective structural identification of medium-rise building structures
Nguyen, A., Kodikara, K. A. T. L., Chan, T. H. T. and Thambiratnam, D. P.. 2018. "Toward effective structural identification of medium-rise building structures." Journal of Civil Structural Health Monitoring. 8 (1), pp. 63-75. https://doi.org/10.1007/s13349-017-0259-y
Modelling techniques for structural evaluation for bridge assessment
Jamali, Shojaeddin, Chan, Tommy H. T., Nguyen, Andy and Thambiratnam, David P.. 2018. "Modelling techniques for structural evaluation for bridge assessment." Journal of Civil Structural Health Monitoring. 8 (2), pp. 271-283. https://doi.org/10.1007/s13349-018-0269-4
Damage detection in asymmetric buildings using vibration-based techniques
Wang, Y., Thambiratnam, D. P., Chan, T. H. T. and Nguyen, A.. 2018. "Damage detection in asymmetric buildings using vibration-based techniques." Structural Control and Health Monitoring. 25 (5), pp. 1-19. https://doi.org/10.1002/stc.2148
Response of tall buildings with symmetric setbacks under blast loading
Jayatilake, I. N., Dias, W. P. S., Jayasinghe, M. T. R. and Thambiratnam, D. P.. 2010. "Response of tall buildings with symmetric setbacks under blast loading." Journal of the National Science Foundation of Sri Lanka. 38 (2), pp. 115-123. https://doi.org/10.4038/jnsfsr.v38i2.2043