Damage Identification of Bridge Structures Considering Temperature Variations-Based SVM and MFO
Publication: Journal of Aerospace Engineering
Volume 34, Issue 2
Abstract
Civil structures are affected by some environmental factors, such as traffic, ambient temperature, and noises. The change of structural dynamic characteristics arising from these factors may cover up those coming from structural damage, which makes the evaluation of structural health conditions based on vibration data more difficult. To overcome this difficulty, a novel method based on the support vector machine (SVM) and moth-flame optimization (MFO) is proposed to identify the damage of structures considering temperature variations. First of all, SVM is adopted to determine temperature variations and possible damage locations using the first six natural frequencies, and MFO is exploited to locate and quantify the damage accurately through the objective function constructed with a frequency-based multiple damage location assurance criterion (FMDLAC) and modal strain energy-based index (MSEBI). The combination of MFO and SVM can promote the efficiency of damage identification and accurately analyze environmental effects, which is a creative method with good robustness to solve the issue of damage identification considering environmental factors. To verify the effectiveness of the proposed method, a numerical simply-supported beam example considering temperature variations, as well as random noise, is investigated, and the optimal parameters for the method are acquired. Finally, a practical engineering example, the I-40 Bridge, is adopted to confirm the feasibility of the method further. The results demonstrate that the proposed approach is of a good optimization performance and can identify the damage of large complex structures considering temperature variations, which is of great practical application value.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This study was supported by the Science Research Foundation of Wuhan Institute of Technology, China (No. K2017025); the Science and Technology Research Project of Hubei Provincial Department of Education (No. B2018051), China; and the Plan of Outstanding Young and Middle-aged Scientific and Technological Innovation Team in Universities of Hubei Province, China (Project No. T2020010).
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Published In
Journal of Aerospace Engineering
Volume 34 • Issue 2 • March 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Apr 26, 2020
Accepted: Aug 31, 2020
Published online: Nov 24, 2020
Published in print: Mar 1, 2021
Discussion open until: Apr 24, 2021
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