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Communication Dans Un Congrès Année : 2018

NDE & SHM computational tools for enhanced diagnostics and reliability assessment

Résumé

Since now many years simulation has proven to be a powerful tool for the design and demonstration of performance of inspections. However the capability and the way of using simulation have significantly evolved accompanying new needs from industry. Over the years efforts are put on forwards models in order to increase the accuracy of the predictions in the most challenging situations. Alternative approaches (semi-analytical, FEM, hybrid models…) are now available which addresses a wide range of complex cases. Accompanying these progress new needs have emerged which imply intensive and/or ultrafast computations. On one hand, a more comprehensive handling of uncertainties motivates statistical estimation of reliability and accuracy. On the other hand, new techniques emerge which imply to handle sophisticated data processing (UT array imaging, GW tomography, CT), adaptive algorithms or robotized trajectories. These techniques require efficient and real-time computational tools embedded in complex systems and processes. The development of meta-modelling strategies combined with machine-learning make today possible to fulfill these needs in miscellaneous contexts. Simulation-based sensitivity analysis allow to account for the relative influence of application parameters on the performances of the inspection. Inverse models are used to automatize or enhance diagnostics. All these features are even amplified in the case of SHM applications where the automation of diagnostic is central. This presentation will give an overview of the works carried out at CEA related to these issues.
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hal-04520659 , version 1 (25-03-2024)

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  • HAL Id : hal-04520659 , version 1

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Pierre Calmon, Christophe Reboud, Edouard Demaldent, Olivier Mesnil, Stéphane Leberre. NDE & SHM computational tools for enhanced diagnostics and reliability assessment. 10th International Symposium on NDT in Aerospace, DGZfP, Oct 2018, Dresde, Germany. ⟨hal-04520659⟩
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