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A model based predictive tool for fire safety intumescent coatings design

Abstract : In order to improve structures survivability, intumescent paints provide an attractive alternative to insulating materials. Such protective coatings provide an efficient thermal protection due to their swelling properties when exposed to thermal aggressions. The key-goal for safety aspects is to determine which initial paint thickness has to be applied in order to satisfy thermal safety requirements. Thus, if all the thermo physical properties of the intumescent paint are accurately known, the development of a numerical predictive tool could offer a solution for safety recommendations. A numerical design of experiment is proposed. Response surfaces are determined and optimal initial paint thickness can be found using D-optimum design. The optimal thickness is validated in simulated specific accidental configurations using a Solar Furnace.
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https://hal.univ-angers.fr/hal-02507088
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Submitted on : Thursday, July 21, 2022 - 7:00:53 AM
Last modification on : Thursday, July 21, 2022 - 7:01:00 AM

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Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

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  • HAL Id : hal-02507088, version 1

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Mathieu Gillet, Laetitia Perez, Laurent Autrique. A model based predictive tool for fire safety intumescent coatings design. Fire Safety Journal, Elsevier, 2019, 110. ⟨hal-02507088⟩

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