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Proceedings of CHT-15. 6th International Symposium on ADVANCES IN COMPUTATIONAL HEAT TRANSFER
May, 25-29, 2015, Rutgers University, New Brunswick, NJ, USA

DOI: 10.1615/ICHMT.2015.IntSympAdvComputHeatTransf


ISBN Print: 978-1-56700-429-8

ISSN: 2578-5486

NUMERICAL PREDICTIONS OF THE EFFECTIVE THERMAL CONDUCTIVITY FOR MULTIPHASE POROUS BUILDING MATERIALS

pages 850-865
DOI: 10.1615/ICHMT.2015.IntSympAdvComputHeatTransf.730
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RÉSUMÉ

This article provides a full numerical tool for modeling and prediction of effective thermal conductivity of multiphase porous building materials. Scale of the pores in building materials can be categorized as macro and meso pores and the connection between them is quite significant to predict the effective thermal conductivity. A new numerical random generation macro-meso pores (RGMMP) method, in contrast to traditional models, which is based on geometrical and morphological information acquired from measurements or experimental calculations, is proposed here. This method not only illustrates the stochastic macro-meso pores distribution characteristics of porous building materials but also can aptly serve to calculate the heat diffusion through multiphase building materials. Lattice Boltzmann method along with proposed structure generating tool RGMMP, characterized with the energy conservation and appropriate boundary conditions at numerous interfaces in the complex system, is validated with some theoretical solutions for simpler cases as well as with existing experimental data. Then it is applied for modeling and prediction of effective diffusion coefficient of wide range of porous (multiphase) building materials. The comparison of present model and different theoretical models with the experimental results shows that the proposed model agrees much better with the experimental data than the traditional theoretical models. More validation of the present model for other building materials is needed. The present model is useful for the prediction of effective thermal conductivity which is an important parameter for thermal performance analysis of multiphase porous building envelopes.

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