Thermal properties, such as thermal conductivity (
λ) and heat capacity (
Cv), are important in understanding heat transport and the urban heat island (UHI) effect. While many studies focus on surface materials rather than roadbed materials, this study targeted
[...] Read more.
Thermal properties, such as thermal conductivity (
λ) and heat capacity (
Cv), are important in understanding heat transport and the urban heat island (UHI) effect. While many studies focus on surface materials rather than roadbed materials, this study targeted roadbed materials using recycled concrete aggregates mixed with autoclaved aerated concrete (AAC) grains to experimentally measure and to predict the
λ and
Cv under varied moisture conditions. The results showed that both
λ and
Cv of all tested samples increased linearly with increasing volumetric water content (
θ), and the increment of AAC was effective in reducing the
λ values in the whole range of
θ. The addition of AAC, on the other hand, did not affect the measured
Cv significantly and gave a linear increase in
Cv with the increase in
θ. The performance of predictive models showed that Archie’s-second-law-based model captured the measured
λ values for all tested samples well by modifying the saturation exponent (
n = 0.7), and the classic de Vries model predicted the measured
Cv well, suggesting that Archie’s-second-law-based model would be useful to evaluate heat transport parameters for roadbed materials in this study.
Full article