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Methodology for localization of crack in a steel truss bridge model

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Abstract

It is tough to monitor the health of steel bridges because they are large in size and beyond reach. Now-a-days the number of heavy vehicles and overloading vehicles is increasing very fast which is causing great damages to these steel bridges. On that account, it is very necessary to detect the fatigue cracks early. A real-time crack localization algorithm is proposed for a truss model and validated in this study using the acoustic emission (AE) technique. Crack signals are achieved by pencil lead break up (PLB) test. The acquired AE signal is amplified by a preamplifier for observation. Characteristic parameters are calculated according to the parameter-based method and pre-set some values of these parameters to proceed with the real-time crack localisation algorithm. The pre-set values are decided according to the structure of the truss model after thorough experiments. Position of PLB test is changed for every experiment. The waveform-based method is also used to find important parameters such as dominant frequencies, time of arrival, etc. Frequency components are obtained with the help of the fast Fourier transform and the time of arrivals are found using the Wavelet transform (WT). Therefore, velocities are calculated with WT and some known distances. The presented algorithm helps to determine the nearest sensor and member of the truss in which crack has occurred. This algorithm also calculates the distance between crack position and the sensor. The percentage of the difference between actual and calculated length is presented and it is observed that the percentage difference is within a satisfactory range.

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Acknowledgements

This research work was supported by the “Department of Science and Technology”, Government of India. The authors want to thank Dr. Pijush Topdar, Professor, NIT, Durgapur, and Mr. Parikshit Roy, Ph.D. Scholar, NIT, Durgapur, for providing the experimental acoustic emission data of the truss model.

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Authors and Affiliations

  1. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, Uttar Pradesh, India

    A Banerjee & A Mukherjee

  2. CSIR-Central Mechanical Engineering Research Institute, M G Avenue, Durgapur, 713209, West Bengal, India

    A Banerjee & A Mukherjee

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  1. A Banerjee
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  2. A Mukherjee
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Correspondence to A Mukherjee.

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Banerjee, A., Mukherjee, A. Methodology for localization of crack in a steel truss bridge model. Sādhanā 48, 51 (2023). https://doi.org/10.1007/s12046-023-02098-z

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  • DOI: https://doi.org/10.1007/s12046-023-02098-z

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