Performance-based model to predict thermal conductivity of non-autoclaved aerated concrete through linearization approach

Anuar Ulykbanov, Eldar Sharafutdinov, Chul Woo Chung, Dichuan Zhang, Chang Seon Shon

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Aerated concrete (AC) is widely used in a cold region such as Kazakhstan because it can provide an excellent thermal insulation. In spite of many previous researches regarding thermal conductivity (λ) of normal concrete and/or autoclaved AC, there was paid a little attention to which components in the mix design and the hardening process of non-autoclaved aerated concrete (NAAC) are critical key factors for the λ. In this study, critical key material properties affecting the λ of NAAC was identified in terms of water to binder ratio (w/b), curing temperature, curing period, and relative humidity (RH). Moreover, a performance-based mathematical model used for prediction of NAAC λ was developed using the linear relationship of these parameters. Test results indicate that the λ of NAAC was mainly affected by 7-day curing age, curing temperature, and w/b, but less sensitive to RH. The performance-based mathematical model showed a good reliability to predict 28-day λ of NAAC, resulting in the fact that the R2 value of regression analysis for measured and predicted 28-day λ was 0.875.

Original languageEnglish
Pages (from-to)555-563
Number of pages9
JournalConstruction and Building Materials
Volume196
DOIs
Publication statusPublished - Jan 30 2019

Keywords

  • Non-autoclaved aerated concrete
  • Performance-based mathematical model
  • Thermal conductivity

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)

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