A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings

André Talla

doi:doi:10.11648/j.ajasr.20160206.13

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A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings

André Talla

Published in American Journal of Applied Scientific Research (Volume 2, Issue 6)

Received: 12 September 2016 Accepted: 28 October 2016 Published: 25 November 2016

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Abstract

The aim of this paper was to predict the thermal conductivity of local composite materials, particularly used as building materials in Sub-Saharan countries, as a function of their water content. In this work, a new simplified model, based on a physical approach with assumption of an ideal shrinkage of the material during the evaporation of water, was built. Two composite materials were successfully tested providing good fitting and prediction results. Calculated and experimental values of thermal conductivity were in good agreement, with a maximum standard error of 0.037 Wm^-1K^-1 for the three hygroscopic materials. In spite of its simplicity, this model leads to a more accurate representation than other classical models of the measured variations of the thermal conductivity of hygroscopic materials with the water content.

Published in	American Journal of Applied Scientific Research (Volume 2, Issue 6)
DOI	10.11648/j.ajasr.20160206.13
Page(s)	48-54
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Hygroscopic Material, Water Content, Simplified Model, Thermal Conductivity, Porosity, Density

References

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[8]	Bal H, Jannot Y, Gaye S, Demeurie F. Measurement and modelisation of the thermal conductivity of a wet composite porous medium: Laterite based bricks with millet waste additive. Constr Build Mater 2013; 41: 586–593.
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APA Style

André Talla. (2016). A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings. American Journal of Applied Scientific Research, 2(6), 48-54. https://doi.org/10.11648/j.ajasr.20160206.13

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ACS Style

André Talla. A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings. Am. J. Appl. Sci. Res. 2016, 2(6), 48-54. doi: 10.11648/j.ajasr.20160206.13

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AMA Style

André Talla. A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings. Am J Appl Sci Res. 2016;2(6):48-54. doi: 10.11648/j.ajasr.20160206.13

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@article{10.11648/j.ajasr.20160206.13,
  author = {André Talla},
  title = {A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings},
  journal = {American Journal of Applied Scientific Research},
  volume = {2},
  number = {6},
  pages = {48-54},
  doi = {10.11648/j.ajasr.20160206.13},
  url = {https://doi.org/10.11648/j.ajasr.20160206.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20160206.13},
  abstract = {The aim of this paper was to predict the thermal conductivity of local composite materials, particularly used as building materials in Sub-Saharan countries, as a function of their water content. In this work, a new simplified model, based on a physical approach with assumption of an ideal shrinkage of the material during the evaporation of water, was built. Two composite materials were successfully tested providing good fitting and prediction results. Calculated and experimental values of thermal conductivity were in good agreement, with a maximum standard error of 0.037 Wm-1K-1 for the three hygroscopic materials. In spite of its simplicity, this model leads to a more accurate representation than other classical models of the measured variations of the thermal conductivity of hygroscopic materials with the water content.},
 year = {2016}
}

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TY  - JOUR
T1  - A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings
AU  - André Talla
Y1  - 2016/11/25
PY  - 2016
N1  - https://doi.org/10.11648/j.ajasr.20160206.13
DO  - 10.11648/j.ajasr.20160206.13
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 48
EP  - 54
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20160206.13
AB  - The aim of this paper was to predict the thermal conductivity of local composite materials, particularly used as building materials in Sub-Saharan countries, as a function of their water content. In this work, a new simplified model, based on a physical approach with assumption of an ideal shrinkage of the material during the evaporation of water, was built. Two composite materials were successfully tested providing good fitting and prediction results. Calculated and experimental values of thermal conductivity were in good agreement, with a maximum standard error of 0.037 Wm-1K-1 for the three hygroscopic materials. In spite of its simplicity, this model leads to a more accurate representation than other classical models of the measured variations of the thermal conductivity of hygroscopic materials with the water content.
VL  - 2
IS  - 6
ER  -

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Author Information

André Talla

Department of Industrial and Mechanical Engineering, National Advanced School of Engineering, Yaounde, Cameroon

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APA Style

André Talla. (2016). A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings. American Journal of Applied Scientific Research, 2(6), 48-54. https://doi.org/10.11648/j.ajasr.20160206.13

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ACS Style

André Talla. A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings. Am. J. Appl. Sci. Res. 2016, 2(6), 48-54. doi: 10.11648/j.ajasr.20160206.13

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AMA Style

André Talla. A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings. Am J Appl Sci Res. 2016;2(6):48-54. doi: 10.11648/j.ajasr.20160206.13

Copy | Download

@article{10.11648/j.ajasr.20160206.13,
  author = {André Talla},
  title = {A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings},
  journal = {American Journal of Applied Scientific Research},
  volume = {2},
  number = {6},
  pages = {48-54},
  doi = {10.11648/j.ajasr.20160206.13},
  url = {https://doi.org/10.11648/j.ajasr.20160206.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20160206.13},
  abstract = {The aim of this paper was to predict the thermal conductivity of local composite materials, particularly used as building materials in Sub-Saharan countries, as a function of their water content. In this work, a new simplified model, based on a physical approach with assumption of an ideal shrinkage of the material during the evaporation of water, was built. Two composite materials were successfully tested providing good fitting and prediction results. Calculated and experimental values of thermal conductivity were in good agreement, with a maximum standard error of 0.037 Wm-1K-1 for the three hygroscopic materials. In spite of its simplicity, this model leads to a more accurate representation than other classical models of the measured variations of the thermal conductivity of hygroscopic materials with the water content.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings
AU  - André Talla
Y1  - 2016/11/25
PY  - 2016
N1  - https://doi.org/10.11648/j.ajasr.20160206.13
DO  - 10.11648/j.ajasr.20160206.13
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 48
EP  - 54
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20160206.13
AB  - The aim of this paper was to predict the thermal conductivity of local composite materials, particularly used as building materials in Sub-Saharan countries, as a function of their water content. In this work, a new simplified model, based on a physical approach with assumption of an ideal shrinkage of the material during the evaporation of water, was built. Two composite materials were successfully tested providing good fitting and prediction results. Calculated and experimental values of thermal conductivity were in good agreement, with a maximum standard error of 0.037 Wm-1K-1 for the three hygroscopic materials. In spite of its simplicity, this model leads to a more accurate representation than other classical models of the measured variations of the thermal conductivity of hygroscopic materials with the water content.
VL  - 2
IS  - 6
ER  -

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