Title :
Measurement of Porosity in Granular Particle Distributions Using Adaptive Thresholding
Author :
Bloom, Michael ; Russell, Michael J. ; Kustau, Aliaksei ; Mandayam, Shreekanth ; Sukumaran, Beena
Author_Institution :
Electr. & Comput. Eng. Dept., Rowan Univ., Glassboro, NJ, USA
fDate :
5/1/2010 12:00:00 AM
Abstract :
It has been shown that the flow and shear characteristics of granular particles such as soils are significantly dependent on the shape of the particles. This is important from a practical viewpoint because a fundamental understanding of granular behavior will lead to an improved understanding of soil stability and influence the design of structural foundations. Furthermore, the calculation of soil stability and, consequently, structural stability is particularly useful during earthquake events. In previous work, we have demonstrated the applicability of X-ray and optical tomography measurements for characterizing 3-D shapes of natural sands and manufactured granular particles. In this paper, we extend the work to measure the arrangement and the orientation of an assemblage of such particles. A combination of X-ray computed tomography (CT) for measuring the coordinates of the individual particles and an iterative adaptive thresholding technique for computing the local variations in porosity is employed to generate porosity maps. Such maps can be used to gain a more fundamental understanding of the shear characteristics of granular particles. In this paper, we demonstrate the success of our technique by exercising the method on several sets of granular particles-glass beads (used as a control), natural Michigan Dune and Daytona Beach sand, and processed Dry #1 sand.
Keywords :
flow instability; flow through porous media; flow visualisation; granular flow; granular materials; iterative methods; porosity; soil; Daytona beach sand; X-ray measurements; coordinates measurement; glass beads; granular particle distributions; iterative adaptive thresholding technique; natural Michigan dune; optical tomography measurements; porosity measurement; Image processing; image segmentation; industrial applications; material analysis; mechanical measurements; pattern recognition; shape analysis;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2010.2040902