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Identification of Water Diffusivity of Inorganic Porous Materials Using Evolutionary Algorithms
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SYSNO ASEP 0459747 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Identification of Water Diffusivity of Inorganic Porous Materials Using Evolutionary Algorithms Author(s) Kočí, J. (CZ)
Maděra, J. (CZ)
Jerman, M. (CZ)
Keppert, M. (CZ)
Svora, Petr (UACH-T) SAI
Černý, R. (CZ)Source Title Transport in Porous Media. - : Springer - ISSN 0169-3913
Roč. 113, č. 1 (2016), s. 51-66Number of pages 16 s. Language eng - English Country US - United States Keywords Evolutionary algorithms ; Water transport ; Inorganic porous materials ; Inverse analysis Subject RIV CA - Inorganic Chemistry Institutional support UACH-T - RVO:61388980 UT WOS 000376117800003 EID SCOPUS 84961574388 DOI 10.1007/s11242-016-0679-x Annotation Two evolutionary algorithms are introduced as universal approaches for the identification of water transport characteristics of inorganic porous materials in both absorption and desorption phases. At first, genetic algorithm and genetic programming are applied for the inverse analysis of water content profiles measured in an absorption experiment. A comparison of results with the output of the commonly used Boltzmann–Matano approach shows that the calculated diffusivities can reproduce experimental data with a similarly good or even slightly better accuracy. In the second part of investigations, a water desorption experiment is realized for autoclaved aerated concrete, a typical representative of inorganic porous materials used in the construction sector. The genetic algorithm and genetic programming exhibit an excellent performance also in this case. Both approaches can thus be considered as viable, more universal alternatives to the traditional methods. Workplace Institute of Inorganic Chemistry Contact Jana Kroneislová, krone@iic.cas.cz, Tel.: 311 236 931 Year of Publishing 2017
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