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A Revised Methodology to Minimize Bias in Determining the Porosity and Void Tensor of Particulate Media

by Chun-Yi Kuo, The Georgia Inst of Technology, Atlanta, United States,
J. David Frost, The Georgia Inst of Technology, Atlanta, United States,



Document Type: Proceeding Paper

Part of: Digital Image Processing: Techniques and Applications in Civil Engineering

Abstract:

Increased recognition of the importance of fabric in the observed response of particulate media under monotonic and cyclic loading has led to the development of new procedures to quantify this role. This paper reviews an experimental based methodology that uses classical stereology principles to experimentally determine the porosity and void tensor from microscopic observations. These quantities can them be used, for example, in constitutive relationships that attempt to predict material behavior. The potential for measurement bias with the current methodology is illustrated and a revised technique involving the subtraction of images while considering the representative element circle concept is presented. Measurements with the existing and proposed methodologies are compared.

Subject Headings: Porosity | Material properties | Voids | Granular materials | Materials processing | Fabrics | Computer vision and image processing

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