Comparison of Surface Characteristics of Hot-Mix Asphalt Pavement Surfaces at the Virginia Smart Road

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dc.contributor.authorDavis, Robin Michelleen
dc.contributor.committeechairFlintsch, Gerardo W.en
dc.contributor.committeecochairAl-Qadi, Imadeddin L.en
dc.contributor.committeememberTrani, Antoino A.en
dc.contributor.departmentCivil Engineeringen
dc.date.accessioned2014-03-14T20:41:59Zen
dc.date.adate2001-08-01en
dc.date.available2014-03-14T20:41:59Zen
dc.date.issued2001-06-22en
dc.date.rdate2002-08-01en
dc.date.sdate2001-07-26en
dc.description.abstractPavement surface characteristics are important to both the safety of the pavement surface and the comfort of the drivers. As of yet, texture and friction measurements have not been incorporated into the design of pavement surfaces. Seven different wearing surface mixtures, placed at the Virginia Smart Road pavement facility, were studied over a one year time period for both friction and texture properties. A locked wheel skid trailer and a laser profilometer were used to assess the pavement surface characteristics. Laboratory testing of the pavement wearing surface mixtures was performed to determine volumetric and mixture specific characteristics. Testing included gyratory compaction, specific gravity, maximum theoretical specific gravity, ignition testing, and gradation analysis. These material properties were used to study the impact of material properties on pavement surface characteristics. The pavement surface characteristics were analyzed using regression analysis with some measured and calculated parameters relevant to the pavement wearing surface properties. Analysis variables included the skid number at 64 kilometers per hour measured using the ASTM E501 (smooth) and ASTM E524 (ribbed) tires, the mean profile depth, the slope of a linear SN-speed model, the skid number at zero speed from the Pennsylvania State University (1) model, and the International Friction Index parameters. Analysis determined that testing particulars such as the grade of the test did not significantly affect the measured skid number. However, there is a significant difference between the skid numbers measured using the two tires. Additionally, the relationship between speed and skid resistance is assessed differently between the two test tires. Regression analysis concluded that there is a relationship between surface characteristics and HMA design properties such as the VMA, VTM, Percent Passing #200 sieve, and Binder Type. The influence of these variables on each of the analysis parameters varied.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-07262001-193459en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07262001-193459/en
dc.identifier.urihttp://hdl.handle.net/10919/34177en
dc.publisherVirginia Techen
dc.relation.haspartRobinMDavisThesis.PDFen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectTextureen
dc.subjectHot Mix Asphalt Propertiesen
dc.subjectPavement Surface Characteristicsen
dc.subjectSkid Resistanceen
dc.titleComparison of Surface Characteristics of Hot-Mix Asphalt Pavement Surfaces at the Virginia Smart Roaden
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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