Open Access

Research on structural damage identification of bridge engineering based on dynamic parameters

  
Mar 19, 2025

Cite
Download Cover

An, Y., Chatzi, E., Sim, S. H., Laflamme, S., Blachowski, B., & Ou, J. (2019). Recent progress and future trends on damage identification methods for bridge structures. Structural Control and Health Monitoring, 26(10), e2416. An Y. Chatzi E. Sim S. H. Laflamme S. Blachowski B. Ou J. ( 2019 ). Recent progress and future trends on damage identification methods for bridge structures . Structural Control and Health Monitoring , 26 ( 10 ), e2416 . Search in Google Scholar

Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., & Inman, D. J. (2018). Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks. Journal of Sound and Vibration, 424, 158-172. Avci O. Abdeljaber O. Kiranyaz S. Hussein M. Inman D. J. ( 2018 ). Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks . Journal of Sound and Vibration , 424 , 158 - 172 . Search in Google Scholar

Sun, L., Shang, Z., Xia, Y., Bhowmick, S., & Nagarajaiah, S. (2020). Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection. Journal of Structural Engineering, 146(5), 04020073. Sun L. Shang Z. Xia Y. Bhowmick S. Nagarajaiah S. ( 2020 ). Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection . Journal of Structural Engineering , 146 ( 5 ), 04020073 . Search in Google Scholar

Salehi, H., & Burgueño, R. (2018). Emerging artificial intelligence methods in structural engineering. Engineering structures, 171, 170-189. Salehi H. Burgueño R. ( 2018 ). Emerging artificial intelligence methods in structural engineering . Engineering structures , 171 , 170 - 189 . Search in Google Scholar

Moughty, J. J., & Casas, J. R. (2017). A state of the art review of modal-based damage detection in bridges: Development, challenges, and solutions. Applied Sciences, 7(5), 510. Moughty J. J. Casas J. R. ( 2017 ). A state of the art review of modal-based damage detection in bridges: Development, challenges, and solutions . Applied Sciences , 7 ( 5 ), 510 . Search in Google Scholar

Bao, Y., Chen, Z., Wei, S., Xu, Y., Tang, Z., & Li, H. (2019). The state of the art of data science and engineering in structural health monitoring. Engineering, 5(2), 234-242. Bao Y. Chen Z. Wei S. Xu Y. Tang Z. Li H. ( 2019 ). The state of the art of data science and engineering in structural health monitoring . Engineering , 5 ( 2 ), 234 - 242 . Search in Google Scholar

Hou, R., & Xia, Y. (2021). Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019. Journal of Sound and Vibration, 491, 115741. Hou R. Xia Y. ( 2021 ). Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019 . Journal of Sound and Vibration , 491 , 115741 . Search in Google Scholar

Cao, M. S., Sha, G. G., Gao, Y. F., & Ostachowicz, W. (2017). Structural damage identification using damping: a compendium of uses and features. Smart Materials and structures, 26(4), 043001. Cao M. S. Sha G. G. Gao Y. F. Ostachowicz W. ( 2017 ). Structural damage identification using damping: a compendium of uses and features . Smart Materials and structures , 26 ( 4 ), 043001 . Search in Google Scholar

Neves, A. C., Gonzalez, I., Leander, J., & Karoumi, R. (2017). Structural health monitoring of bridges: a model-free ANN-based approach to damage detection. Journal of Civil Structural Health Monitoring, 7, 689-702. Neves A. C. Gonzalez I. Leander J. Karoumi R. ( 2017 ). Structural health monitoring of bridges: a model-free ANN-based approach to damage detection . Journal of Civil Structural Health Monitoring , 7 , 689 - 702 . Search in Google Scholar

Pathirage, C. S. N., Li, J., Li, L., Hao, H., Liu, W., & Ni, P. (2018). Structural damage identification based on autoencoder neural networks and deep learning. Engineering structures, 172, 13-28. Pathirage C. S. N. Li J. Li L. Hao H. Liu W. Ni P. ( 2018 ). Structural damage identification based on autoencoder neural networks and deep learning . Engineering structures , 172 , 13 - 28 . Search in Google Scholar

Zhang, C., Chang, C. C., & Jamshidi, M. (2020). Concrete bridge surface damage detection using a single-stage detector. Computer-Aided Civil and Infrastructure Engineering, 35(4), 389-409. Zhang C. Chang C. C. Jamshidi M. ( 2020 ). Concrete bridge surface damage detection using a single-stage detector . Computer-Aided Civil and Infrastructure Engineering , 35 ( 4 ), 389 - 409 . Search in Google Scholar

Abdeljaber, O., Avci, O., Kiranyaz, S., Gabbouj, M., & Inman, D. J. (2017). Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks. Journal of sound and vibration, 388, 154-170. Abdeljaber O. Avci O. Kiranyaz S. Gabbouj M. Inman D. J. ( 2017 ). Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks . Journal of sound and vibration , 388 , 154 - 170 . Search in Google Scholar

Feng, D., & Feng, M. Q. (2018). Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection–A review. Engineering Structures, 156, 105-117. Feng D. Feng M. Q. ( 2018 ). Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection–A review . Engineering Structures , 156 , 105 - 117 . Search in Google Scholar

Lin, Y. Z., Nie, Z. H., & Ma, H. W. (2017). Structural damage detection with automatic feature-extraction through deep learning. Computer-Aided Civil and Infrastructure Engineering, 32(12), 1025-1046. Lin Y. Z. Nie Z. H. Ma H. W. ( 2017 ). Structural damage detection with automatic feature-extraction through deep learning . Computer-Aided Civil and Infrastructure Engineering , 32 ( 12 ), 1025 - 1046 . Search in Google Scholar

Yang, Y. B., & Yang, J. P. (2018). State-of-the-art review on modal identification and damage detection of bridges by moving test vehicles. International Journal of Structural Stability and Dynamics, 18(02), 1850025. Yang Y. B. Yang J. P. ( 2018 ). State-of-the-art review on modal identification and damage detection of bridges by moving test vehicles . International Journal of Structural Stability and Dynamics , 18 ( 02 ), 1850025 . Search in Google Scholar

Pan, H., Azimi, M., Yan, F., & Lin, Z. (2018). Time-frequency-based data-driven structural diagnosis and damage detection for cable-stayed bridges. Journal of Bridge Engineering, 23(6), 04018033. Pan H. Azimi M. Yan F. Lin Z. ( 2018 ). Time-frequency-based data-driven structural diagnosis and damage detection for cable-stayed bridges . Journal of Bridge Engineering , 23 ( 6 ), 04018033 . Search in Google Scholar

Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., Gabbouj, M., & Inman, D. J. (2021). A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications. Mechanical systems and signal processing, 147, 107077. Avci O. Abdeljaber O. Kiranyaz S. Hussein M. Gabbouj M. Inman D. J. ( 2021 ). A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications . Mechanical systems and signal processing , 147 , 107077 . Search in Google Scholar

Kong, X., Cai, C. S., & Hu, J. (2017). The state-of-the-art on framework of vibration-based structural damage identification for decision making. Applied Sciences, 7(5), 497. Kong X. Cai C. S. Hu J. ( 2017 ). The state-of-the-art on framework of vibration-based structural damage identification for decision making . Applied Sciences , 7 ( 5 ), 497 . Search in Google Scholar

Azimi, M., Eslamlou, A. D., & Pekcan, G. (2020). Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review. Sensors, 20(10), 2778. Azimi M. Eslamlou A. D. Pekcan G. ( 2020 ). Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review . Sensors , 20 ( 10 ), 2778 . Search in Google Scholar

Baqersad, J., Poozesh, P., Niezrecki, C., & Avitabile, P. (2017). Photogrammetry and optical methods in structural dynamics–A review. Mechanical Systems and Signal Processing, 86, 17-34. Baqersad J. Poozesh P. Niezrecki C. Avitabile P. ( 2017 ). Photogrammetry and optical methods in structural dynamics–A review . Mechanical Systems and Signal Processing , 86 , 17 - 34 . Search in Google Scholar

Mishra, M., Lourenço, P. B., & Ramana, G. V. (2022). Structural health monitoring of civil engineering structures by using the internet of things: A review. Journal of Building Engineering, 48, 103954. Mishra M. Lourenço P. B. Ramana G. V. ( 2022 ). Structural health monitoring of civil engineering structures by using the internet of things: A review . Journal of Building Engineering , 48 , 103954 . Search in Google Scholar

Zhai, W., Han, Z., Chen, Z., Ling, L., & Zhu, S. (2019). Train–track–bridge dynamic interaction: a state-of-the-art review. Vehicle System Dynamics, 57(7), 984-1027. Zhai W. Han Z. Chen Z. Ling L. Zhu S. ( 2019 ). Train–track–bridge dynamic interaction: a state-of-the-art review . Vehicle System Dynamics , 57 ( 7 ), 984 - 1027 . Search in Google Scholar

Gui, G., Pan, H., Lin, Z., Li, Y., & Yuan, Z. (2017). Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection. KSCE Journal of Civil Engineering, 21, 523-534. Gui G. Pan H. Lin Z. Li Y. Yuan Z. ( 2017 ). Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection . KSCE Journal of Civil Engineering , 21 , 523 - 534 . Search in Google Scholar

Alkayem, N. F., Cao, M., Zhang, Y., Bayat, M., & Su, Z. (2018). Structural damage detection using finite element model updating with evolutionary algorithms: a survey. Neural Computing and Applications, 30, 389-411. Alkayem N. F. Cao M. Zhang Y. Bayat M. Su Z. ( 2018 ). Structural damage detection using finite element model updating with evolutionary algorithms: a survey . Neural Computing and Applications , 30 , 389 - 411 . Search in Google Scholar

Language:
English