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Crack Identification of Steel Bar Based on Sensor Optimal Placement

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Abstract

The traditional modal test of steel bars has two chief disadvantages of being time-consuming and having a complex detection operation. This paper presents the effective independence driving-point residue (EI-DPR) method for sensor optimal placement, which identifies cracks of steel bars based on the modal assurance criterion (MAC) and minimum mean square error (MMSE) criterion. The steel bars with cracks are tested separately by the uniform measuring point method and the optimal sensor placement method according to the vibration modal test. By comparing the test results, the optimal sensor placement method can identify cracks rapidly and accurately, which is more efficient than the uniform measuring point method. The study provides a reference for the rapid non-destructive testing of large-aspect ratio steel bars.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 51335003).

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Authors and Affiliations

  1. Advanced Manufacturing and Transportation Department, Hangzhou Wanxiang Polytechnic, Hangzhou, China

    Lina Wang, Ruyong Li, Li Liu & Junshe Zhang

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  1. Lina Wang
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  2. Ruyong Li
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  3. Li Liu
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  4. Junshe Zhang
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Correspondence to Lina Wang.

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Wang, L., Li, R., Liu, L. et al. Crack Identification of Steel Bar Based on Sensor Optimal Placement. J Fail. Anal. and Preven. 19, 866–873 (2019). https://doi.org/10.1007/s11668-019-00674-2

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  • DOI: https://doi.org/10.1007/s11668-019-00674-2

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