Numerical simulation of pore structure and heat transfer behavior in aerated concrete

The pore structure of porous concrete is randomly formed, which brings thorny obstacle to accurately predict its thermal performance. In this study, a numerical approach was proposed for the simulation of pore structure and heat transfer behavior in aerated concrete. According to the porosity (e) and log-normal pore size distribution parameters (mu, a), an idea of random distribution was developed to reconstruct the pore structure via computer modeling, and also an overlap ratio (6) was defined and adopted to generate a structure closer to reality. In parallel with this, a Finite Volume Model (FVM) was established to solve the energy control equation, and thus the effective thermal conductivities (ETCs) were numerically calculated. The calibrated and validated FVM model was also used to systematically study the effects of air-void content, air-void distribution and structural parameters, including pore size and porosity on the heat transfer behavior of aerated concrete. The numerical results show that the ETCs tend to slightly decrease with the increase of overlap ratio (6), pore size (mu) and distribution (a) due to an increased degree of consolidation between pores, which leads to the solid phase easily blocked by the connected pores so that the optimal heat transfer path through the solid phase conduction is blocked. Further, the comparisons of predictions of ETCs with the experimental data and other existing models indicate that the numerical predictions agree well with the experimental data, and the experimental and simulated values of the ETCs are intermediate between the Maxwell-Eucken 1 and Effective Medium Percolation Theory (EMPT) models.

Automated summary

In this study, a numerical approach was proposed for simulating the pore structure and heat transfer behavior in porous concrete. The pore structure was reconstructed using a random distribution method based on the porosity and log-normal pore size distribution parameters. The effect of various structural parameters on the heat transfer behavior was systematically studied using a Finite Volume Model, and the numerical results agreed well with experimental data and existing models.