

Type of Document Dissertation Author Scott, Michael Leon Author's Email Address miscott@vt.edu URN etd-4554162539751141 Title Determining the Air Void Parameters of Concrete Using Digital Image Analysis of Polarized Light Micrographs Degree Master of Science Department Engineering Science and Mechanics Advisory Committee
Advisor Name Title Duke, John C. Jr. Committee Member Henneke, Edmund G. II committee member Weyers, Richard E. committee member Keywords
- powers spacing factor
- image analysis
- Concrete
- microscopy
Date of Defense 1997-04-22 Availability unrestricted Abstract Abstract The ASTM C457 test has long been a standard
used to obtain the air void parameters of concrete
materials. These air void parameters provide valuable
information that has been linked to the performance of
concrete under conditions such as freezing and thawing
cycles. The standard test procedure involves linearly
traversing a cut and polished section of a concrete
specimen while a technician observes it under a
microscope. Chord lengths of material constituents that the
technician observes along the linear traverse are recorded
and later used to calculate air void parameters statistically.
This procedure is long and tedious, which makes it
susceptible to human error due to operator fatigue. This
study proposes and implements a new test method for
evaluating concrete air void parameters using an image
analysis method. A polishing procedure along with a
differential interference contrast microscope are used to
obtain high contrast images of material constituents, which
provide raw data for the image analysis method. Because
of the high contrast that can be obtained, cement paste, air
voids in the cement paste, and aggregate materials in the
concrete can be distinguished from one another based on
these images. An image analysis program has been written
for this study which linearly traverses these images and
records the chord lengths of material constituents in a
similar way to the standard ASTM C457 test. The chord
length data must be processed further, however, because
features in the images can be truncated by the edge of the
image. Correction calculations for this problem are
implemented in the image analysis algorithm. Two
specimens which have been previously tested using the
standard ASTM C457 method by the Virginia
Transportation Research Council, (VTRC), are used in this
study. The air void parameters obtained using the new test
are compared directly with the results obtained by VTRC
for the two specimens. Statistical comparisons indicate that
the results of the new test are indeed significant, showing
the potential it has for practical implementation. There are
drawbacks to the test including a long polishing procedure,
but this process can be automated. The new test appears
to have excellent potential for practical application, but it
should be emphasized that the test has only been
implemented using materials in two concrete specimens.
Further study on a variety of other concrete materials
would be required for implementation in a standard
procedure.
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