From fiber to wall: PHYSical approach of hygrothermal transfers in BIO-based con...
From fiber to wall: PHYSical approach of hygrothermal transfers in BIO-based construction MATerials
Bio-based construction materials are air-fiber systems, such as wood, hemp, cellulose, flax, etc., possibly coated with a mineral paste. They represent a promising solution for carbon emission reduction, due to their low productio...
Bio-based construction materials are air-fiber systems, such as wood, hemp, cellulose, flax, etc., possibly coated with a mineral paste. They represent a promising solution for carbon emission reduction, due to their low production cost and their partial or full recyclability. Moreover, they bring more comfort to the occupants thanks to their moisture-buffering capacity, and they require less energy for heating or cooling. These qualities are obtained through exchanges between water vapor and bound water, i.e., water absorbed in the solid structure, combined with heat transfers. Consequently, understanding and predicting water and heat (hygrothermal) transfers in such materials is essential to selecting them appropriately, adjusting their conditions of use, and designing innovative materials. However, the current analysis of their performance is generally based on limited evaluations at a global scale or via macroscopic models lacking physical information.
My idea is instead to open the black box and start from the fiber scale, to explicitly describe the internal physical processes at this scale, including sorption dynamics, bound water diffusion, fiber configuration, etc., and then to progressively complete and extend this approach to full-scale materials. This can be used to build for the first time a generic description, understanding, and modelling, of hygrothermal phenomena in bio-based construction materials. This physical description will be supported and enriched by several experimental innovations. Notably, internal measurements of the spatial distribution of moisture content and temperature in time will be obtained from non-invasive time-resolved magnetic resonance imaging (MRI), which can be used to validate the models and determine diffusion properties in an unequivocal way. Finally, I will develop an open-source software predicting hygrothermal characteristics and performance based on material characteristics and history of ambient conditions.ver más
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