Coarse and fine aggregates form the skeleton of any type of pavement and influence the
performance of the pavement structure. Characterization of the physical characteristics
(shape, angularity, and texture) of coarse and fine aggregates is the first step towards the
development of valid specifications for these characteristics. Current test methods used
in practice have several limitations in quantifying the shape and texture properties. An
imaging based test method ??Aggregate Imaging System (AIMS)?? has been recently
developed and shown to be capable of directly measuring the characteristics of coarse
and fine aggregates.
In this thesis, the quality of AIMS measurements is evaluated through the analysis of
repeatability, reproducibility, and sensitivity. The analysis results are also compared to
the results from other available test methods. AIMS provides the distribution of shape
characteristics in an aggregate sample. Statistical analysis is conducted in order to
determine the distribution function that best describes the distribution of shape
characteristics. The parameters of the distribution function can be related to the
performance of pavement layers. A new method based on the ??Categorical Units?? isdeveloped to test differences between aggregate samples in terms of shape
characteristics. It is demonstrated that this method is capable of quantifying the
differences between aggregates and can be used to capture the influence of change in
aggregate source or production techniques on aggregate characteristics.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/2416 |
| Date | 29 August 2005 |
| Creators | Bathina, Manjula |
| Contributors | Eyad, Masad |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 509699 bytes, electronic, application/pdf, born digital |
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