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05744aam a2200625Ic 4500 001 F34A821AB7CA11EC864CB83724ECA4DB 003 SILO 005 20220409010100 008 150327s2015 iauado fsbt s000 0 eng d 035 $a (OCoLC)905729779 040 $a UIG $b eng $e rda $c UIG $d SILO 088 $a InTrans Project 13-446 088 $a IHRB Project TR-653 100 1 $a Lin, Shibin, $e author. $u Iowa State University. 245 10 $a Assessment of Nondestructive Testing Technologies for Quality Control/Quality Assurance of Asphalt Mixtures $c Shibin Lin, Jeramy C. Ashlock, Hanjun Kim, Jeremy Nash, Hosin (David) Lee, and R. Christopher Williams 264 1 $a Ames, Iowa $b Institute for Transportation, Iowa State University $c 2015 300 $a xiv, 167 pages (183 pages in PDF file) $b Illustrations, charts, photographs (chiefly color) 536 $a Performed by Iowa State University, Institute for Transportation $c InTrans Project 13-446 536 $a Sponsored by Iowa Department of Transportation $c TR-653 536 $a Sponsored by the Iowa Highway Research Board $c TR-653 536 $a Sponsored by Federal Highway Administration, U.S. DOT 500 $a "March 2015" -- Technical Documentation Page 504 $a Includes bibliographical references (pages 79-82) 520 3 $a Asphalt pavements suffer various failures due to insufficient quality within their design lives. The American Association of State Highway and Transportation Officials (AASHTO) Mechanistic-Empirical Pavement Design Guide (MEPDG) has been proposed to improve pavement quality through quantitative performance prediction. Evaluation of the actual performance (quality) of pavements requires in situ nondestructive testing (NDT) techniques that can accurately measure the most critical, objective, and sensitive properties of pavement systems. The purpose of this study is to assess existing as well as promising new NDT technologies for quality control/quality assurance (QC/QA) of asphalt mixtures. Specifically, this study examined field measurements of density via the PaveTracker electromagnetic gage, shear-wave velocity via surface-wave testing methods, and dynamic stiffness via the Humboldt GeoGauge for five representative paving projects covering a range of mixes and traffic loads. The in situ tests were compared against laboratory measurements of core density and dynamic modulus. The in situ PaveTracker density had a low correlation with laboratory density and was not sensitive to variations in temperature or asphalt mix type. The in situ shear-wave velocity measured by surface-wave methods was most sensitive to variations in temperature and asphalt mix type. The in situ density and in situ shear-wave velocity were combined to calculate an in situ dynamic modulus, which is a performance-based quality measurement. The in situ GeoGauge stiffness measured on hot asphalt mixtures several hours after paving had a high correlation with the in situ dynamic modulus and the laboratory density, whereas the stiffness measurement of asphalt mixtures cooled with dry ice or at ambient temperature one or more days after paving had a very low correlation with the other measurements. To transform the in situ moduli from surface-wave testing into quantitative quality measurements, a QC/QA procedure was developed to first correct the in situ moduli measured at different field temperatures to the moduli at a common reference temperature based on master curves from laboratory dynamic modulus tests. The corrected in situ moduli can then be compared against the design moduli for an assessment of the actual pavement performance. A preliminary study of microelectromechanical systems- (MEMS)-based sensors for QC/QA and health monitoring of asphalt pavements was also performed. 516 $a Text file in PDF format. 538 $a System requirements: Adobe Acrobat Reader, Adobe Acrobat, or other PDF reader. 538 $a Mode of access: World Wide Web $u http://publications.iowa.gov/id/eprint/19152 513 $a Final Report 650 0 $a Pavements, Asphalt concrete $x Testing. 650 07 $a Asphalt mixtures $2 trt 650 07 $a Cores (Specimens) $2 trt 650 07 $a Nondestructive tests $2 trt 650 07 $a Nuclear density gages $2 trt 650 07 $a Paving $2 trt 650 07 $a Quality assurance $2 trt 650 07 $a Quality control $2 trt 650 07 $a Sensors $2 trt 700 1 $a Ashlock, Jeramy C., $e author. $u Iowa State University. 700 1 $a Kim, Han-jun, $e author. 700 1 $a Nash, Jeremy, $e author. 700 1 $a Lee, Hosin David, $e author. $u University of Iowa. 700 1 $a Williams, R. Christopher, $e author. $u Iowa State University. 710 2 $a Iowa State University. $b Institute for Transportation, $e performing body. 710 2 $a University of Iowa. $b Public Policy Center, $e performing body. 710 1 $a Iowa. $b Department of Transportation, $e sponsoring body. 710 1 $a Iowa. $b Highway Research Board, $e sponsoring body. 710 1 $a United States. $b Federal Highway Administration, $e sponsoring body. 856 40 $a Iowa Publications Online $3 Online access. $z Full report $u http://publications.iowa.gov/id/eprint/19152 856 42 $a Iowa Publications Online $3 Online access. $z Tech transfer summary $u http://publications.iowa.gov/id/eprint/19152 856 40 $a Digital Repository @ Iowa State University $3 Online access. $z Full report $u http://lib.dr.iastate.edu/intrans_reports/112 856 42 $a Digital Repository @ Iowa State University $3 Online access. $z Tech Transfer summary $u http://lib.dr.iastate.edu/intrans_techtransfer/67 941 $a 1 952 $l IAOX771 $d 20240710103036.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=F34A821AB7CA11EC864CB83724ECA4DB 994 $a C0 $b UIGInitiate Another SILO Locator Search