Large-scale parallel computation for the reconstruction of natural stress corrosion cracks from eddy current testing signals

Noritaka Yusa, Zhenmao Chen, Kenzo Miya, Tetsuya Uchimoto, Toshiyuki Takagi

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)

Abstract

An inversion algorithm for the reconstruction of cracks from eddy current signals is developed in this study and applied to the profile evaluation of natural stress corrosion cracks that were found in steam generator tubes of a nuclear power plant. A crack is modeled as an assembly of small regions having conductivities inside so that eddy currents that flow across the cracks are considered. The conductivity of each region, which is assumed to be a discrete value, is reconstructed by means of the algorithm. Since the algorithm is based upon a tabu search that usually requires a large number of evaluating solution candidates, simulations are carried out on a supercomputer with the use of parallel computation using up to 128 CPUs so as to reconstruct the crack profiles within a reasonable computational time. It is demonstrated that the algorithm can estimate the profiles of the natural cracks with sufficient accuracy. The simulations also show that the algorithm is highly compatible with parallel computation. Additional simulations using other models of natural cracks are performed. Reconstructed profiles of the natural cracks, as a notch with zero conductivity, are very different from the true profiles, even though the reconstructed signals agree well with the measured values. This reveals that it is necessary to take the internal conductivity into consideration when dealing with natural cracks.

Original languageEnglish
Pages (from-to)449-459
Number of pages11
JournalNDT and E International
Volume36
Issue number7
DOIs
Publication statusPublished - 2003 Oct

Keywords

  • Eddy currents
  • Inverse problem
  • Natural crack
  • Parallel computing
  • Tabu search

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanical Engineering

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