Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity Coefficient
We numerically investigated moisture transfer in buildings made of concrete. We considered three types of concrete: normal concrete, pumice concrete and cellular concrete. We present the results of a 1-D liquid water flow in such materials. We evaluated the moisture distribution in building material...
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doaj-036f36421a78467fbb363234f2a8a0342020-11-24T22:36:05ZengSciendoSlovak Journal of Civil Engineering1210-38961338-39732017-03-01251101810.1515/sjce-2017-0002sjce-2017-0002Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity CoefficientSimo Elie0Dzali Mbeumo Pascal Durant1Mbami Njeuten Jeanne Claude2Enviromental Energy Technology Laboratory, EETL, Physics Department, Faculty of Science, University of Yaounde I, B. P. 7268 Yaounde, CameroonEnviromental Energy Technology Laboratory, EETL, Physics Department, Faculty of Science, University of Yaounde I, B. P. 7268 Yaounde, CameroonDepartment de Physique, Ecole Normale Superieure du Cameroon, B.P. 47 Yaounde, CameroonWe numerically investigated moisture transfer in buildings made of concrete. We considered three types of concrete: normal concrete, pumice concrete and cellular concrete. We present the results of a 1-D liquid water flow in such materials. We evaluated the moisture distribution in building materials using the Runge-Kutta fourth-and-fifth-order method. The DOPRI5 code was used as an integrator. The model calculated the resulting moisture content and other moisture-dependent physical parameters. The moisture curves were plotted. The dampness data obtained was utilized for the numerical computation of the coefficient of the capillary conductivity of moisture. Different profiles of this coefficient are represented. Calculations were performed for four different values of the outdoor temperature: -5°C, 0°C, 5°C and 10°C. We determined that the curves corresponding to small time intervals of wetting are associated with great amplitudes of the capillary conductivity . The amplitudes of the coefficient of the capillary conductivity decrease as the time interval increases. High outdoor temperatures induce high amplitudes of the coefficient of the capillary conductivity.http://www.degruyter.com/view/j/sjce.2017.25.issue-1/sjce-2017-0002/sjce-2017-0002.xml?format=INTConcreteMoisture contentDiffusionCoefficient of the capillary conductivityDOPRI5 integrator |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Simo Elie Dzali Mbeumo Pascal Durant Mbami Njeuten Jeanne Claude |
spellingShingle |
Simo Elie Dzali Mbeumo Pascal Durant Mbami Njeuten Jeanne Claude Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity Coefficient Slovak Journal of Civil Engineering Concrete Moisture content Diffusion Coefficient of the capillary conductivity DOPRI5 integrator |
author_facet |
Simo Elie Dzali Mbeumo Pascal Durant Mbami Njeuten Jeanne Claude |
author_sort |
Simo Elie |
title |
Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity Coefficient |
title_short |
Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity Coefficient |
title_full |
Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity Coefficient |
title_fullStr |
Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity Coefficient |
title_full_unstemmed |
Moisture Transfer in Concrete: Numerical Determination of the Capillary Conductivity Coefficient |
title_sort |
moisture transfer in concrete: numerical determination of the capillary conductivity coefficient |
publisher |
Sciendo |
series |
Slovak Journal of Civil Engineering |
issn |
1210-3896 1338-3973 |
publishDate |
2017-03-01 |
description |
We numerically investigated moisture transfer in buildings made of concrete. We considered three types of concrete: normal concrete, pumice concrete and cellular concrete. We present the results of a 1-D liquid water flow in such materials. We evaluated the moisture distribution in building materials using the Runge-Kutta fourth-and-fifth-order method. The DOPRI5 code was used as an integrator. The model calculated the resulting moisture content and other moisture-dependent physical parameters. The moisture curves were plotted. The dampness data obtained was utilized for the numerical computation of the coefficient of the capillary conductivity of moisture. Different profiles of this coefficient are represented. Calculations were performed for four different values of the outdoor temperature: -5°C, 0°C, 5°C and 10°C. We determined that the curves corresponding to small time intervals of wetting are associated with great amplitudes of the capillary conductivity . The amplitudes of the coefficient of the capillary conductivity decrease as the time interval increases. High outdoor temperatures induce high amplitudes of the coefficient of the capillary conductivity. |
topic |
Concrete Moisture content Diffusion Coefficient of the capillary conductivity DOPRI5 integrator |
url |
http://www.degruyter.com/view/j/sjce.2017.25.issue-1/sjce-2017-0002/sjce-2017-0002.xml?format=INT |
work_keys_str_mv |
AT simoelie moisturetransferinconcretenumericaldeterminationofthecapillaryconductivitycoefficient AT dzalimbeumopascaldurant moisturetransferinconcretenumericaldeterminationofthecapillaryconductivitycoefficient AT mbaminjeutenjeanneclaude moisturetransferinconcretenumericaldeterminationofthecapillaryconductivitycoefficient |
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1725721430351413248 |