Application of automatic image analysis to evaluate the anisotropy of autoclaved aerated concrete for moisture transport

Abstract

Autoclaved aerated concrete (AAC) is an artificial building material commonly applied in energy efficient buildings. Blocks of AAC are characterized by relatively homogenous distribution of pores and their dimensions. However, during manufacturing there occurs irregular pores positioning which may influence water transport processes. This phenomenon is called anisotropy which could be evaluated using standard gravimetric or electric methods of moisture detection. In this article we propose a method of level of anisotropy evaluation using image analysis. During the research a set of AAC samples was prepared and examined using time domain reflectometry (TDR) method for capillary uptake phenomenon and in parallel the cross-sections visual analyses were conducted. Both techniques confirmed the anisotropic features of the tested material.