Damage detection in sluice hoist beams subject to excitation at resonance frequency band based on local primary frequency
Q. Y. Wei1 , W. Xu2 , D. Novák3 , R. Pukl4 , D. Y. Li5 , M. S. Cao6
1, 2, 5, 6Department of Engineering Mechanics, Hohai University, Nanjing, People’s Republic of China
3Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Brno, Czech Republic
4Cervenka Consulting, Ltd., Prague, Czech Republic
Vibroengineering PROCEDIA, Vol. 28, 2019, p. 40-45.
Received 2 October 2019; accepted 9 October 2019; published 19 October 2019
Cracks of sluice hoist beams due to the load and aging of the material threaten the safety of sluice structural system. As the one of the main methods of damage detection, the non-destructive detection method based on natural frequency is still insensitive to local damage. Therefore, this paper proposes a method for hoist beams damage detection driven by resonance frequency band based on local primary frequency in the local mode. Firstly, the possibility of damage detection based on local primary frequency is discussed and the procedure of determining resonance frequency band is explained. Then the damage identification index based on the change ratio of local primary frequency is provided. Finally, numerical results demonstrate the correctness and effectiveness of the proposed method. The proposed method can provide reference for damage detection of hoist beams and health monitoring of sluice structural system.
- Overcome the shortcomings of traditional frequency-based methods
- Consider the implementation of the method from the perspective of excitation
- Separate the substructures we focused from global structure
- Method is feasible in actual engineering
Keywords: sluice hoist beams, damage detection, crack, local primary frequency, resonance frequency band.
This work is supported by the Chinese (Jiangsu)-Czech Bilateral Co-funding R&D Project DELTA “Advanced system for monitoring, diagnosis and assessment of large-scale concrete infrastructures” (No. SBZ2018000220), and the National Natural Science Foundation of China (Nos. 11772115 and 51708173).
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