%0 Journal Article
%T POD preprocessing of IR thermal data to assess heat source distributions
%+ Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
%+ Laboratoire de Mécanique et Génie Civil (LMGC)
%+ Centre des Matériaux (CDM)
%+ ThermoMécanique des Matériaux (ThM2)
%A Ranc, Nicolas
%A Blanche, Antoine
%A Ryckelynck, David
%A Chrysochoos, André
%< avec comité de lecture
%@ 0014-4851
%J Experimental Mechanics
%I Society for Experimental Mechanics
%V 55
%P 725-739
%8 2015
%D 2015
%R 10.1007/s11340-014-9858-2
%K Quantitive image processing
%K Infrared thermography
%K Dissipation fields
%K Thermomechanical couplings
%K Behavior modeling
%K Proper orthogonal decomposition
%Z Engineering Sciences [physics]/Materials
%Z Engineering Sciences [physics]/Mechanics [physics.med-ph]
%Z Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]
%Z Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Journal articles
%X Infrared thermography is a useful imaging technique for analyzing the thermomechanical behaviour of materials. It allows, under certain conditions, surface temperature monitoring and, via a diffusion model, estimation of heat sources induced by dissipative and/or thermally coupled deformation mechanisms. However, the noisy and discrete character of thermal data, the regularizing effect of heat diffusion and heat exchanges with the surroundings complicate the passage from temperature to heat source. The aim of this paper is to show that the prior use of reduced-basis projection of thermal data improves the signal-to-noise ratio before estimating the heat source distributions. The reduced basis is generated by proper orthogonal decomposition (POD) of physically-admissible thermal fields. These fields are solutions of ideal diffusion problems related to a set of putative heat sources. preprocessing is applied to different direct methods (finite differences, spectral solution, local least-squares fitting) already used in the past. The gain of this preprocessing is determined using a numerical penalizing benchmark test. The methods are finally compared using data extracted from a dynamic cyclic test on a pure copper specimen.
%G English
%2 https://hal.science/hal-01178213/document
%2 https://hal.science/hal-01178213/file/PIMM%20-%20EM%20-%20RANC-%202015.pdf
%L hal-01178213
%U https://hal.science/hal-01178213
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