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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

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Evaluation of discretized transport properties for numerical modelling of heat and moisture transfer in building structures

Galbraith, Graham H. and Li, Jintang and Guo, Jiansong and Kelly, David and McLean, R. Craig and Grunewald, John (2001) Evaluation of discretized transport properties for numerical modelling of heat and moisture transfer in building structures. Journal of Thermal Envelope and Building Science, 34 (3). pp. 240-260. ISSN 1097-1963

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Abstract

Over the past decade, a large number of numerical models have been developed to predict heat and moisture transfer within building envelopes. In these models, the moisture transfer mechanism has been described and correlated by reference to the various transport phenomena and corresponding theories, viz. heat transfer and fluid flow. However, predicting the coupled heat and moisture performance of a building construction has never been a straightforward task, since a steady state situation hardly ever occurs and the transport properties (heat and moisture) of a material vary with moisture content and temperature. This paper discusses the transport phenomenon and the various numerical algorithms used in the discretization equations and how different algorithms affect the modelled results. Computer simulations have been conducted for different building materials and material combinations and comparisons have been made to evaluate the selection of discretized transport properties. Discrepancies in results are demonstrated between different mathematical interpolations, namely the Resistance (R ) type formula and Linear ( L ) interpolation. Recommendations are given as guidance towards applying the most appropriate formulations for a given modelling scenario.