2013
DOI: 10.1080/14680629.2013.813868
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Exploring pay factors based on hot mix asphalt performance using quality-related specification software

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Cited by 9 publications
(5 citation statements)
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“…For the analysis performed, the ''critical'' depth at which the slope was zero occurred at 2.583 in. (5.7 cm) lift thickness [20]. This finding could relate to the JMF |E Ã | in the QRSS software being based on using the WPE in a Monte Carlo simulation given the design parameters.…”
Section: Development Of Surface Rutting Modelmentioning
confidence: 96%
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“…For the analysis performed, the ''critical'' depth at which the slope was zero occurred at 2.583 in. (5.7 cm) lift thickness [20]. This finding could relate to the JMF |E Ã | in the QRSS software being based on using the WPE in a Monte Carlo simulation given the design parameters.…”
Section: Development Of Surface Rutting Modelmentioning
confidence: 96%
“…Models derived from nonlinear regression results yielded R-squared values of 0.751 for surface rutting while using four or five variables. Rutting models appear to predict PLD within a small error range to the QRSS-measured data, carry an easily reproduced process, and possess a form which can be used and manipulated for differing projects and locations based on QRSS-prediction databases [20]. For rutting in the surface lift, two trends exist: one for thinner thicknesses and one for thicker thicknesses.…”
Section: Parametric Study Summarymentioning
confidence: 98%
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“…Compulsory properties are those properties that are strictly necessary in relation to safety: structural properties, roughness, friction, and texture. The structural properties can be analyzed according to the MEPDG (13,14), the AASHTO Guide 1993 (11,12), or many other models (17)(18)(19). Consequently, the structural and material properties of an as-constructed (AC) surface course will imply a given expected structural life, as predicted by mechanistic-empirical models (E M ) (20,21).…”
Section: Wearing Courses Singularitymentioning
confidence: 99%
“…To develop PRS, the reliable performanceprediction models and maintenance cost models are needed. Although a number of research studies have been conducted (Anderson, Luhr, Antle, Siddiqui, & Fernando, 1990;Epps et al, 2002;Mensching, McCarthy, Mehta, Albert, & Moulthrop, 2013;Popescu & Monismith, 2006;Shook, Diaz, Stroup-Gardiner, & Seeds, 1992;Solaimanian, Kennedy, & Lin, 1998), only a few agencies have implemented it into the real practice due to the lack of agency-specific data.…”
Section: Introductionmentioning
confidence: 96%