A new inverse algorithm for tomographic reconstruction of damage images using lambwaves

M. Morii, N. Hu, H. Fukunaga, J. H. Li, Y. L. Liu, S. Atobe, Alamusi, J. H. Qiu

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Lamb wave tomography (LWT) is a potential and efficient technique for non-destructive tomographic reconstruction of damage images in structural components or materials. A new two-stage inverse algorithm with a small amount of scanning data for quickly reconstructing damage images in aluminum and CFRP laminated plates was proposed in this paper. Due to its high sensitivity to damages, the amplitude decrease of transmitted Lamb waves after travelling through the inspected region was employed as a key signal parameter related to the attenuation of Lamb waves in propagation routes. A through-thickness circular hole and a through-thickness elliptical hole in two aluminum plates, and an impact-induced invisible internal delamination in a CFRP laminated plate were used to validate the effectiveness and reliability of the proposed method. It was concluded that the present new algorithm was capable of reconstructing the images of the above mentioned various damages successfully with much less experimental data compared with those needed by some traditional techniques.

Original languageEnglish
Pages (from-to)37-65
Number of pages29
JournalComputers, Materials and Continua
Volume26
Issue number1
Publication statusPublished - 2011

Keywords

  • Attenuation
  • Damage image
  • Inverse algorithm
  • Lamb wave tomography

ASJC Scopus subject areas

  • Biomaterials
  • Modelling and Simulation
  • Mechanics of Materials
  • Computer Science Applications
  • Electrical and Electronic Engineering

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