Thesis Open Access

ANALYSIS OF INHERENT ANISOTROPY IN ASPHALT CONCRETE MIXTURES

ZEKARIYAS MUSSIE AMANU


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  <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">&lt;p&gt;Asphalt Concrete mixtures were characterized by one of mechanistically modeling&lt;br&gt;
technique, inherent anisotropy of the material. The performance of AC&lt;br&gt;
mixtures is influenced by the arrangement of aggregates and their associated&lt;br&gt;
air voids. The main objective of this study to analyze aggregate orientation&lt;br&gt;
and evaluates inherent anisotropy in AC mixtures using X-ray CT images&lt;br&gt;
by means of microstructure parameter. There are three AC mixture designs:&lt;br&gt;
coarse graded CMHB Type C, gap graded PFC and fine graded Superpave&lt;br&gt;
Type C AC mixtures. They are prepared with hard limestone aggregate and&lt;br&gt;
compacted with SGC, having a PG 76-22 modified binder.&lt;br&gt;
Digital image processing algorithm is adopted for this study to process X-ray&lt;br&gt;
CT scanned images and effectively separate the connected or overlapping aggregates&lt;br&gt;
using MATLABr 2018b, image processing toolbox. It includes for&lt;br&gt;
both coarse and fine aggregate particles ranging from 1.18 mm to 19 mm. The&lt;br&gt;
aggregate orientation, size and area can be used to define internal structure&lt;br&gt;
parameters (i.e., modified Vector magnitude) to evaluate inherent anisotropy&lt;br&gt;
of AC mixtures.&lt;br&gt;
Aggregates have three dominant average orientations having 20% of the aggregates&lt;br&gt;
has an inclination angle between (-10o-10o), 65% of the aggregates&lt;br&gt;
have an inclination angle between (-45o-45o) and 15% of aggregates have&lt;br&gt;
an inclination angle between (-45o-90o) for three AC mixtures. Small inclination&lt;br&gt;
angle indicates the aggregates lies flat in the horizontal direction that&lt;br&gt;
is perpendicular to the compaction direction. In addition, statistical analysis&lt;br&gt;
was performed for AC mixtures within AC layers. It results, aggregate&lt;br&gt;
orientation varies within AC layers. Variation of aggregates orientation is&lt;br&gt;
performed using Scheffe multi-comparison test.&lt;/p&gt;</description>
  </descriptions>
</resource>
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