Characterisation of surface residual stress using high frequency Rayleigh waves

In order to control residual stress distribution in glass, techniques based on the phenomenon of photoelasticity are efficient, though subject to the inherent limitations of all optical techniques. To mitigate these limitations, we exploit the phenomenon of acoustoelasticity to estimate residual stress distribution, using surface acoustic waves. In this study, we characterize the surface residual stresses using high frequency Rayleigh waves. From the dispersion of surface waves caused by the presence of residual stress fields, we estimate, by inverse method, the characteristics of residual stress distribution. SAW-IDT sensors are used to generate the quasi-monochromatic Rayleigh waves and the detection of these waves is obtained with interferometer probe.

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Source Proceedings of 13th International Symposium on Nondestructive Characterization of Materials, NDCM-XIII
Author Ouaftouh, Mohammadi, Duquennoy, Marc, Deboucq, Julien, Jenot, Frédéric, Ourak, Mohamed
Maintainer CCSD
Last Updated May 5, 2026, 17:36 (UTC)
Created May 5, 2026, 17:36 (UTC)
Identifier hal-00971598
Language en
contributor Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN) ; Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)
coverage Le Mans, France
creator Ouaftouh, Mohammadi
date 2013-05-05T00:00:00
harvest_object_id c2b0c62f-2d6a-4587-ad29-0d1d6d37d509
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-01-24T00:00:00
set_spec type:COMM