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Abstract:The objective of this research study was to develop guidelines for portland cement concrete (PCC) material inputs to the
AASHTOWare Pavement ME Design program. The AASHTOWare Pavement ME Design is the software program used by the
Mississippi Department of Transportation (MDOT) to develop pavement design alternatives based on the mechanistic-empirical
pavement design guide (MEPDG) procedure originally developed under National Cooperative Highway Research Program
(NCHRP) Projects 1-37A, 1-40D, and 20-07/Task 288 & 327. MDOT has conducted several research projects to support the
implementation of the MEPDG and for increasing the accuracy of the distress prediction models calibrated for local conditions
and material sources. The current project focuses on PCC material inputs that represent the mix designs, cementitious
materials, and the aggregate sources that will be used in future paving projects.
This report provides a summary of laboratory test results of 20 mix designs that include five different aggregate sources and four
different options for supplementary cementitious materials (SCM) for partial cement replacement. The laboratory test results
represent level 1 and 2 PCC material inputs and report the flexural strength, compressive strength, elastic modulus, poisson’s
ratio, coefficient of thermal expansion (CTE), and percent length change measurements. Strength and modulus data, are
reported for 7, 14, 28, and 90 days as required by the MEPDG. The CTE measurements are reported at 28-days, while the
shrinkage length change measurements are reported for ages of 7, 11,14, 21, 35, 63, 119, and 231 days. Level 2 correlation
equations were developed based on compressive strength and other index properties to estimate flexural strength and elastic
modulus. In general, these models demonstrate a slight deviation from the default level 2 models used in the global calibration
of the MEPDG. Level 2 equations were also developed for each aggregate type and it is recommended that future efforts by
MDOT for the recalibration of the rigid pavement distress prediction models should examine the sensitivity of these level 2
correlation equations and provide recommendations in the MDOT Design Manual.
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