Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31103
Determination of Moisture Diffusivity of AACin Drying Phase using Genetic Algorithm

Authors: Jan Kočí, Jiří Maděra, Miloš Jerman, Robert Černý

Abstract:

The current practice of determination of moisture diffusivity of building materials under laboratory conditions is predominantly aimed at the absorption phase. The main reason is the simplicity of the inverse analysis of measured moisture profiles. However, the liquid moisture transport may exhibit significant hysteresis. Thus, the moisture diffusivity should be different in the absorption (wetting) and desorption (drying) phase. In order to bring computer simulations of hygrothermal performance of building materials closer to the reality, it is then necessary to find new methods for inverse analysis which could be used in the desorption phase as well. In this paper we present genetic algorithm as a possible method of solution of the inverse problem of moisture transport in desorption phase. Its application is demonstrated for AAC as a typical building material.

Keywords: Desorption, inverse analysis, autoclaved aerated concrete, genetic algorithm

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055765

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1316

References:


[1] R. ─îern├¢, J. Mad─øra, J. Ko─ì├¡, E. Vejmelkov├í, E., Heat and moisture transport in porous materials involving cyclic wetting and drying. Fourteenth International Conference on Computational Methods and Experimental Measurements, Algarve, Portugal. Southampton: WIT PRESS, 2009. p. 3-12.
[ 2] J. Kelnar, J. Mad─øra, R. ─îern├¢, Computational Simulation of the Effect of Crystallization. Inhibitors on Salt Transport and Crystallization in Porous Materials. In: Computational Methods and Experimental Measurements XIII. Southampton: WIT Press, 2007, vol. 46, p. 367- 375. ISBN 978-1-84564-084-2.
[3] Semer├ík, P.; ─îern├¢, R. Kapacitn├¡ metoda m─ø┼Öen├¡ vlhkosti stavebn├¡ch materi├íl┼». Stavebn├¡ obzor, ro─ì. 6, ─ì. 4, 1997. p. 102-103.
[4] C. Matano, On the Relation between the Diffusion Coefficient and Concentration of Solid Metals. Jap. J. Phys., Vol. 8, 1933. p. 109-113.
[5] J. Drchalová, R. ČernÛ, Non-Steady-State Methods for Determining the Moisture Diffusivity of Porous Materials. In Int. Comm. in Heat and Mass Transfer, Vol. 25, 1998. p. 109-116.
[6] Jerman, M. - Kočí, V. - VÛbornÛ, J. - ČernÛ, R. Thermal and hygric properties of autoclaved aerated concrete. In: Thermophysics 2010. Brno: Brno University of Technology, 2010, p. 102-108.
[7] H. M. K├╝nzel, Simultaneous Heat and Moisture Transport in Building Components, Ph. D. Thesis. IRB Verlag, Stuttgart. 1995.
[8] J. H. Holland, Adaptation in natural and artificial systems. Internal report. Ann Arbor, University of Michigan, 1975.
[9] E. D. Goldberg, Genetic algorithms in search, optimization and machine learning. Reading, Addison-Wesley, 1989.
[10] Z. Michalewicz, Genetic algorithms + data structures = evolution programs, 3rd ed. Berlin, Springer, 1996.
[11] A. Ku─ìerov├í, Identification of nonlinear mechanical model parameters based on softcomputing methods. PhD thesis, Ecole Normale Sup├®rieure de Cachan, 2007.
[12] Hrstka,O. (WWW), Homepage of SADE. http://klobouk.fsv.cvut.cz/~ondra/sade/sade.htm