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

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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… Click to show full abstract

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.

Keywords: model; thermal conductivity; non autoclaved; performance based; aerated concrete

Journal Title: Construction and Building Materials
Year Published: 2019

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