| Peer-Reviewed

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

Received: 12 September 2016     Accepted: 28 October 2016     Published: 25 November 2016
Views:       Downloads:
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
[1] Raghavan VR., Martin H. Effect of moisture content on the thermal effusivity of wood cement-based composites. J Phys D: Appl Phys 1998; 31:34–57.
[2] Bouguerra A, Diop MB, Laurent JP, Benmalek ML, Queneudec M. Effect of moisture content on the thermal effusivity of wood cement-based composites. J Phys D: Appl Phys 1998; 31:34–57.
[3] Adam EA, Jones PJ. Thermophysical properties of stabilised soil building blocks. Build Environ 1995; 30(2): 245–53.
[4] Meukam P, Jannot Y, Noumowe A, Kofane TC. Thermo physical characteristics of economical building materials. Constr Build Mater 2004; 18(6): 437–43.
[5] Khedari J, Watsanasathaporn P, Hirunlabh J. Development of fibre-based soil–cement block with low thermal conductivity. Cem Concr Compos 2005; 27(1): 111–6.
[6] Omubo-Pepple VB, Opara FE, Ogbonda C. Thermal conductivity of reinforced cement stabilized lateritic brick. J Eng Appl Sci 2010; 5(2): 178–80.
[7] Goodhew S, Griffiths R. Sustainable earth walls to meet the building regulations. Energy Build 2005; 37(5): 451–9.
[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.
[9] Wiener O. Lamellare Doppelbrechung. Phys Z 1904; 5: 332–8.
[10] Hashin Z, Shtrikman S. A variational approach of the effective magnetic permeability of multiphase materials. J Appl Phys 1962; 33: 3125–31.
[11] Tong F, Jing L, Zimmerman RW. An effective thermal conductivity model of geological porous media for coupled thermo-hydro-mechanical systems with multiphase flow. Int J Rock Mech Min Sci 2009; 46: 1358–69.
[12] Beck JM, Beck AE. Computing thermal conductivities of rocks from chips and convenient specimens. J Geophys Res 1965; 70:7227–39.
[13] Krischer O. Die wissenschaftlichen Grundlagendes Trockn ungstechnik. 1st ed. Heidelberg: Springer-Verlag; 1956.
[14] Woodside W, Messmer JH. Thermal conductivity of porous media. J Appl Phys 1961; 32: 1688–706.
[15] Ingersoll JG. Analytical determination of soil thermal conductivity and diffusivity. J. Sol Energy Eng 1988; 110: 306–12.
[16] Talla A. Measurement and modelling of water content effects on thermal properties of compressed soil building blocks. British Journal of Applied Science & Technology 2015; 6(5): 520-533.
[17] Nadeau JP., Puiggali JR. Séchage – des processus physiques aux procédés industriels. Tec Doc 1995, Lavoisier.
Cite This Article
  • 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

    Copy | Download

    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

    Copy | Download

    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  - 

    Copy | Download

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

  • Sections