Application of the Lichtenecker’s Mixing Rule in Modeling the Thermal Properties of Autoclaved Aerated Concrete
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F15%3A00229793" target="_blank" >RIV/68407700:21110/15:00229793 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1063/1.4912391" target="_blank" >http://dx.doi.org/10.1063/1.4912391</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.4912391" target="_blank" >10.1063/1.4912391</a>
Alternative languages
Result language
angličtina
Original language name
Application of the Lichtenecker’s Mixing Rule in Modeling the Thermal Properties of Autoclaved Aerated Concrete
Original language description
Thermal conductivity is an important thermophysical parameter describing heat transport in porous building materials. It is significantly affected by the moisture content; higher water saturation degree leads to the deterioration of thermal insulation capability of building materials. The thermal conductivity is usually determined by repeated measurements for different water saturation levels. However, this procedure is very time consuming. Shortening the time necessary for the determination of thermal conductivity as a function of moisture content can be achieved by an application of convenient mixing formulas. Lichtenecker’s homogenization formula is widely used for its simplicity and the fact that the theoretical Wiener’s bounds can be expressed by choosing the Lichtenecker's coefficient k equal to -1 and 1 k values, laying in close interval [-1, 1], express the geometric transition from parallel to serial connection of heterogeneous material components' layers (matrix, air, water). This article is dealing with the assessment of an optimal coefficient k that identifies precisely the dependence of thermal conductivity of autoclaved aerated concrete (AAC) on moisture content. Data obtained by modeling is compared with measured data by means of RMSE. Under assumption of similar matrix, this approach can lead to an appropriate choice of coefficient k predicting the thermal conductivity dependence on moisture content for a wider group of AACs.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JI - Composite materials
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP105%2F12%2FG059" target="_blank" >GBP105/12/G059: Cumulative time dependent processes in building materials and structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014)
ISBN
978-0-7354-1287-3
ISSN
0094-243X
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
AIP Conference Proceedings
Place of publication
New York
Event location
Rhodes, Greece
Event date
Sep 22, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000355339700080