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Enhancing Nuclear Safety


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Experimental validation of CIVA ultrasonic simulations

S. Lonné(*), L. de Roumilly(*), L. Le Ber(*), S. Mahaut(*), G. Cattiaux(**).
* CEA/SYSSC
** IRSN,
5th International Conference on NDE in relation to structural integrity for nuclear and pressurized components, San Diego, California, USA, May 10-12, 2006,
Rapport DSR 120

Document type > *Report/contribution to WG (paper or CD-Rom), *Congrès/colloque

Keywords > CIVA (software), simulation, ultrasonic

Research Unit > IRSN/DSR/SAMS

Authors > CATTIAUX Gérard

Publication Date > 23/05/2006

Summary

  Ultrasonic simulation tools have been gathered in the Civa software developed at CEA in order to conceive, optimize and predict the performances of various inspection techniques. Those models are based on semi analytical kernels and numerical integration, so that realistic 3D and time transient configurations may be dealt with. Specific emphasis is made to optimize time computation, so that these models can be used for parametric studies in spite of potentially complex configurations. Civa simulation tools include beam propagation and defect scattering models, thus the whole inspection performances may be predicted for a wide range of applications. In addition to existing skills in terms of probes and specimens, recent developments have been achieved so that realistic flaws can be taken into account.
Application cases studied in this paper consider realistic ultrasonic inspections in the framework of collaboration with IRSN. These cases include acquisitions made on several mock-ups containing calibration reflectors (Side Drilled Holes, Flat Bottomed Holes) or artificial complex shaped defects (planar defects with CAD defined contours or multi facetted flaws). Experimental results are then discussed and compared to the predictions obtained with Civa in such configurations. The comparison between Civa simulations and experimental results for both calibration flaws and complex shaped defects shows a good agreement in the range of approximations of the simulation models.


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