Application of automatic image analysis for the investigation of autoclaved aerated concrete structure

Journal Article · Sat Jan 01 00:00:00 EST 1994 · Cement and Concrete Research; (United States)

DOI:https://doi.org/10.1016/0008-8846(94)90003-5· OSTI ID:7267857

Petrov, I; Schlegel, E ^[1]

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1. TU Bergakademie Freiberg (Germany). Inst. fuer Silikattechnik

Autoclaved aerated concrete (AAC) is formed from small-grained mixtures of raw materials and Al-powder as an air entraining agent. Owing to its high porosity AAC has a low bulk density which leads to very good heat insulating qualities. Automatic image analysis in connection with stereology and stochastic geometry was used to describe the size distribution of air pores in autoclaved concrete. The experiments were carried out an AAC samples with extremely different bulk densities and compressive strengths. The assumption of an elliptic shape of pores leads to an unambiguous characterization of structure by bi-histograms. It will be possible to calculate the spatial pore size distribution by these histograms, if the pores are assumed as being spheroids. A marked point field model and the pair correlation function g[sub a](r) were used to describe the pore structure.

• OSTI ID: 7267857
• Journal Information: Cement and Concrete Research; (United States), Vol. 24:5; ISSN 0008-8846
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
CONCRETES
PORE STRUCTURE
IMAGE PROCESSING
IMAGES
MEASURING METHODS
POROSITY
BUILDING MATERIALS
MATERIALS
MICROSTRUCTURE
PROCESSING
360602* - Other Materials- Structure & Phase Studies