By Topic

Parametric identification using photothermal data inversion: application to a nonlinear thermal system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Mathieu Gillet ; Expertise Hauts Flux group, Délégation Générale pour l'Armement, DGA/EHF BP. 59, 66121 Odeillo, France. tel: 0033 468 307 688 ; fax: 0033 468 307 680; e-mail: mathieu.gillet@dga.defense.gouv.fr ; Laurent Autrique ; Laetitia Perez ; Jean-Jacques Serra

Military structures, devices and vehicles used on battlefields are likely to be exposed to heavy thermal aggressions, such as fires or explosions. Protection of personnel and material engaged in combat against such aggressions is a top priority, and needs the use of adapted and optimized systems. Intumescent paints have the ability to swell up when they are heated, building a thick multi-layered coating which provides efficient thermal insulation to the underlying material. In order to evaluate such coating's efficiency in a military framework and to identify its physical properties, experimental tests were carried out. A mathematical model describing intumescent paints behavior under several types of thermal aggressions was developed for system state evaluation in the case of long lasting fires. The model structure has been validated for thermal fluxes induced by several fire configurations and by brief, violent explosions. However, in order to supply the model with reliable input parameters, those must be identified. Thus, a whole identification process was carried out (modeling, sensitivity analysis, experiment, cost function minimization). The identification method is based on the frequency analysis of the heat waves generated by a modulated thermal excitation on the material's surface.

Published in:

2007 American Control Conference

Date of Conference:

9-13 July 2007