Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

The Stereological and Statistical Properties of Entrained Voids in Concrete: A Mathematical Basis for Air Void System Characterization

Published

Author(s)

Kenneth A. Snyder, K C. Hover, K Natesaiyer

Abstract

To understand the freeze-thaw properties of hardened concrete, the air void system must be characterized. Studies of the stereological and statistical properties of entrained air voids in concrete have often involved a number of steps: sample preparation and air void identification, linear and planar analyses of a polished surface, uncertainty analysis of the recorded data, parametric and non-parametric estimates of the air void diameter distribution, and analysis of the air void system spatial statistics. Each of these steps has been discussed in detail by a number of engineering fields. For the civil engineering researcher, a comprehensive study of these properties requires consulting many varied texts, each addressing these steps individually. This Chapter attempts to consolidate these topics into a single desk reference. The researcher can then realize the interdependencies of these topics, learn to accurately characterize the air void system microstructure, and develop an understanding of the basis for standardized test methods such as ASTM C 457.
Citation
Materials Science of Concrete VI

Keywords

air-void spacing, air-void system, building technology, concrete

Citation

Snyder, K. , Hover, K. and Natesaiyer, K. (2001), The Stereological and Statistical Properties of Entrained Voids in Concrete: A Mathematical Basis for Air Void System Characterization, Materials Science of Concrete VI, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=860205 (Accessed April 14, 2024)
Created December 1, 2001, Updated February 19, 2017