Thesis Open Access
ZEKARIYAS MUSSIE AMANU
<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
<identifier identifierType="DOI">10.20372/nadre:2536</identifier>
<creators>
<creator>
<creatorName>ZEKARIYAS MUSSIE AMANU</creatorName>
</creator>
</creators>
<titles>
<title>ANALYSIS OF INHERENT ANISOTROPY IN ASPHALT CONCRETE MIXTURES</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2020</publicationYear>
<dates>
<date dateType="Issued">2020-02-01</date>
</dates>
<resourceType resourceTypeGeneral="Text">Thesis</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://nadre.ethernet.edu.et/record/2536</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.20372/nadre:2535</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/aastu</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/zenodo</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p>Asphalt Concrete mixtures were characterized by one of mechanistically modeling<br>
technique, inherent anisotropy of the material. The performance of AC<br>
mixtures is influenced by the arrangement of aggregates and their associated<br>
air voids. The main objective of this study to analyze aggregate orientation<br>
and evaluates inherent anisotropy in AC mixtures using X-ray CT images<br>
by means of microstructure parameter. There are three AC mixture designs:<br>
coarse graded CMHB Type C, gap graded PFC and fine graded Superpave<br>
Type C AC mixtures. They are prepared with hard limestone aggregate and<br>
compacted with SGC, having a PG 76-22 modified binder.<br>
Digital image processing algorithm is adopted for this study to process X-ray<br>
CT scanned images and effectively separate the connected or overlapping aggregates<br>
using MATLABr 2018b, image processing toolbox. It includes for<br>
both coarse and fine aggregate particles ranging from 1.18 mm to 19 mm. The<br>
aggregate orientation, size and area can be used to define internal structure<br>
parameters (i.e., modified Vector magnitude) to evaluate inherent anisotropy<br>
of AC mixtures.<br>
Aggregates have three dominant average orientations having 20% of the aggregates<br>
has an inclination angle between (-10o-10o), 65% of the aggregates<br>
have an inclination angle between (-45o-45o) and 15% of aggregates have<br>
an inclination angle between (-45o-90o) for three AC mixtures. Small inclination<br>
angle indicates the aggregates lies flat in the horizontal direction that<br>
is perpendicular to the compaction direction. In addition, statistical analysis<br>
was performed for AC mixtures within AC layers. It results, aggregate<br>
orientation varies within AC layers. Variation of aggregates orientation is<br>
performed using Scheffe multi-comparison test.</p></description>
</descriptions>
</resource>
| All versions | This version | |
|---|---|---|
| Views | 0 | 0 |
| Downloads | 0 | 0 |
| Data volume | 0 Bytes | 0 Bytes |
| Unique views | 0 | 0 |
| Unique downloads | 0 | 0 |