Technical Papers
Sep 26, 2023

Structural Damage Identification Based on Quadratic Optimization of Objective Functions with Modal Residual Force and Weighting Strategy

Publication: Journal of Aerospace Engineering
Volume 37, Issue 1

Abstract

Structural damage identification (SDI), an important issue in the field of structural health monitoring (SHM), is usually converted into a constrained optimization problem. However, the conventional objective functions defined by natural frequencies and mode shapes are insensitive enough to structural damage. To tackle this problem, this study proposed a new SDI method based on quadratic optimization of objective functions with both modal residual force and weighting strategy. First, a new structural damage index was constructed by Taylor expansion and sensitive matrix analysis about the modal residual force with respect to damage factor, and then the new index was introduced into a new objective function together with the frequency and mode shape. Then, to balance the magnitude effects of each term in objective functions, a weighting strategy was introduced to define the second new objective function for higher SDI accuracy and robustness to noise. The two proposed objective functions were further solved for SDI with a novel metaheuristic optimization technique, the whale optimization algorithm (WOA). To evaluate the effectiveness of the proposed SDI method, numerical simulations on a simply supported beam and a truss structure, as well as various experimental verifications on a simply supported beam in the laboratory, were carried out. The results show that the proposed SDI method outperforms the traditional method with a higher SDI accuracy and robustness to noise, and the second objective function is more suitable for multiple damage identification in complex structures.

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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 project is supported by the National Natural Science Foundation of China with Grant Nos. 52178290 and 51678278.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 37Issue 1January 2024

History

Received: Mar 12, 2023
Accepted: Jul 18, 2023
Published online: Sep 26, 2023
Published in print: Jan 1, 2024
Discussion open until: Feb 26, 2024

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Graduate Student, Ministry of Education (MOE) Key Laboratory of Disaster Forecast and Control in Engineering, School of Mechanics and Construction Engineering, Jinan Univ., Guangzhou 510632, China. Email: [email protected]
Professor, Ministry of Education (MOE) Key Laboratory of Disaster Forecast and Control in Engineering, School of Mechanics and Construction Engineering, Jinan Univ., Guangzhou 510632, China (corresponding author). ORCID: https://orcid.org/0000-0002-0139-0966. Email: [email protected]
Graduate Student, Ministry of Education (MOE) Key Laboratory of Disaster Forecast and Control in Engineering, School of Mechanics and Construction Engineering, Jinan Univ., Guangzhou 510632, China. Email: [email protected]
Graduate Student, Ministry of Education (MOE) Key Laboratory of Disaster Forecast and Control in Engineering, School of Mechanics and Construction Engineering, Jinan Univ., Guangzhou 510632, China. Email: [email protected]

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