Journal Published Online: 06 March 2007
Volume 4, Issue 2

Evaluation of Functional Approaches to Describe the Moisture Diffusivity of Building Materials

CODEN: JAIOAD

Abstract

With a set of material parameters and a material model called engineering model of hygrothermal material characteristics, both proposed in (Scheffler, 2004), the material functions used for input to hygrothermal building component simulation programs can be adjusted. Using inverse identification of functional parameters by simulation of laboratory experiments, the model is calibrated to reproduce measured water uptake and drying curves. The developed material functions contain an approach to describe the liquid water conductivity of building materials. In addition, moisture storage data approximated by a GAUSSian functional approach, showing sufficient flexibility in the whole moisture range, is available. There with the derivative of the moisture retention curve is known at high precision and the liquid water diffusivity can be derived, too. There exists a wide interest in applicable material functions based on literature data. But literature reviews of hygrothermal material parameters often yield incomplete datasets and experimentally determined curves are lacking or are available at lower accuracy only. Different authors introduced several diffusivity approaches requiring less input parameters for description of liquid water transport in building materials. These models are evaluated by means of diffusivity data derived from the calibrated liquid water conductivity function of the engineering model. A selection of four accurately measured materials is used for this investigation. The investigation is based on controlled laboratory data of high resolution. With the knowledge gained from this study, the uncertainties in interpretation of incomplete datasets frequently encountered in literature reviews shall be reduced.

Author Information

Scheffler, Gregor
Dresden University of Technology, Germany
Grunewald, John
Syracuse University, USA
Plagge, Rudolf
Dresden University of Technology, Germany
Pages: 16
Price: $25.00
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Details
Stock #: JAI100498
ISSN: 1546-962X
DOI: 10.1520/JAI100498