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>
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