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Damage detection method for square steel tube based on CS-NME algorithm via ultrasonic guided waves

  • Tingting Yang
  • , Wensong Zhou*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • School of Civil Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The utilization of ultrasonic guided wave (UGW) technology has garnered considerable attention in non-destructive testing field, particularly for steel components. However, for square steel tubes with noncircular cross sections, this method encounters severer frequency dispersion, which hampers the accuracy of damage identification. To address this issue, the approach utilizing the normal mode expansion (NME) method combined with cuckoo search (CS) algorithm to develop a layout strategy for ultrasonic transducer position and length is proposed, which enables single mode excitation of UGW while reducing the interference from redundant clutter signals, thereby enhancing the accuracy of damage detection. The efficacy of the proposed approach is evaluated via numerical simulations and laboratory experiments. The results show that this method can significantly reduce the interference of other modes by optimizing the location and length of ultrasonic transducers, and successfully detect the hole and crack damage on the square steel tube.

Original languageEnglish
Article number115389
JournalMeasurement: Journal of the International Measurement Confederation
Volume238
DOIs
StatePublished - Oct 2024

Keywords

  • Cuckoo search
  • Damage localization
  • Normal mode expansion
  • Square steel tube
  • Ultrasonic guided wave

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