Shape, texture, and angularity are among the properties of aggregates that have a
significant effect on the performance of hot-mix asphalt, hydraulic cement concrete, and
unbound base and subbase layers. Consequently, there is a need to develop methods that
can quantify aggregate shape properties rapidly and accurately. In this study, an
improved version of the Aggregate Imaging System (AIMS) was developed to measure
the shape characteristics of both fine and coarse aggregates. Improvements were made
in the design of the hardware and software components of AIMS to enhance its
operational characteristics, reduce human errors, and enhance the automation of test
procedure.
AIMS was compared against other test methods that have been used for
measuring aggregate shape characteristics. The comparison was conducted based on
statistical analysis of the accuracy, repeatability, reproducibility, cost, and operational
characteristics (e.g. ease of use and interpretation of the results) of these tests.
Aggregates that represent a wide range of geographic locations, rock type, and shape
characteristics were used in this evaluation.
The comparative analysis among the different test methods was conducted using
the Analytical Hierarchy Process (AHP). AHP is a process of developing a numerical
score to rank test methods based on how each method meets certain criteria of desirable
characteristics. The outcomes of the AHP analysis clearly demonstrated the advantages
of AIMS over other test methods as a unified system for measuring the shape
characteristics of both fine and coarse aggregates.
A new aggregate classification methodology based on the distribution of their
shape characteristics was developed in this study. This methodology offers several
advantages over current methods used in practice. It is based on the distribution of shape
characteristics rather than average indices of these characteristics. The coarse aggregate
form is determined based on three-dimensional analysis of particles. The fundamental
gradient and wavelet methods are used to quantify angularity and surface texture,
respectively. The classification methodology can be used for the development of
aggregate shape specifications.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/1485 |
| Date | 17 February 2005 |
| Creators | Al Rousan, Taleb Mustafa |
| Contributors | Masad, Eyad |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 3630372 bytes, electronic, application/pdf, born digital |
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