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Thermographie infrarouge et méthodes d'inférence statistique pour la détermination locale et transitoire de termes-sources et diffusivité thermique

Massard da Fonseca, Henrique. Thermographie infrarouge et méthodes d'inférence statistique pour la détermination locale et transitoire de termes-sources et diffusivité thermique. PhD, Institut National Polytechnique de Toulouse, 2012

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Official URL: http://ethesis.inp-toulouse.fr/archive/00001860/

Abstract

This work deals with the development of new theoretical and experimental techniques for the efficient estimation of thermophysical properties and source-term in micro and macro-scale. Two kinds of source term were studied: a constant and a time varying source term. The time wise variation of the source term had a sinusoidal and a pulse form. Two devices were used for the sample heating: An electrical resistance and a laser diode. For the data acquisition, an infrared camera was used, providing a full cartography of properties of the medium and also non-contact temperature measurements. The direct problem was solved by the finite differences method, and two approaches were used for the solution of the inverse problem, depending on the time varying behavior of the source term. Both approaches deal with the parameters estimation within the Bayesian framework, using the Markov Chain Monte Carlo (MCMC) method via the Metropolis Hastings (MH) algorithm for the constant source term, and the Kalman filter for the time-varying source term. The nodal strategy is presented as a method to deal with the large number of experimental data problems. Experiments were carried out in a sample with well-known thermophysical properties, determined by classical methods.

Item Type:PhD Thesis
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Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
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Research Director:
Fudym, Olivier and Rangel Barreto Orlande, Helcio
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Deposited On:14 May 2014 21:58

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