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Publication Number:  FHWA-HRT-12-030    Date:  August 2012
Publication Number: FHWA-HRT-12-030
Date: August 2012


Estimation of Key PCC, Base, Subbase, and Pavement Engineering Properties From Routine Tests and Physical Characteristics

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Material characterization is a basic aspect of pavement engineering and is critical for analysis, performance prediction, design, construction, quality control/quality assurance, pavement management, and rehabilitation. Advanced tools like the American Association of State Highway and Transportation Officials Mechanistic-Empirical Pavement Design Guide, Interim Edition: A Manual of Practice (MEPDG) can be used to estimate the influence of several fundamental engineering material parameters on the long-term performance of a pavement.(1) Consequently, there is a need for more information about material properties, which are addressed only to a limited extent with currently available resources for performing laboratory and field testing. Reliable correlations between material parameters and index properties offer a cost-effective alternative, and the derived material property values are equivalent to the level 2 inputs in the MEPDG. This study initially verified the adequacy of the Long-Term Pavement Performance (LTPP) data and also made a preliminary assessment of the feasibility of developing the correlation models. In the next phase of the study, prediction models were developed to help practicing engineers estimate proper MEPDG inputs. This report describes the basis for selecting material parameters that need predictive models, provides a review of current LTPP program data, and proposes several statistically derived models to predict material properties. The models developed under this effort have been incorporated into a simple software program compatible with current versions of Microsoft Windows® operating system.

Jorge E. Pagán-Ortiz Director, Office of Infrastructure Research and Development


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