Exploring pay factors based on hot mix asphalt performance using quality-related specification software

David J. Mensching, Leslie Myers McCarthy, Yusuf A. Mehta, Jennifer Albert, James Moulthrop

    Research output: Contribution to journalArticlepeer-review

    6 Scopus citations

    Abstract

    A parametric study was conducted that established quality-related specification relationships for hot mix asphalt (HMA) design and construction. Factorial analysis identified the significance of several factors, developed regression models, and explored how variations in specifications led to additional incentive or disincentive pay. The equations may allow contractors and transportation agencies to plan as-built or job mix formula requirements based on incentive/disincentive risk. Approximately 92% of the surface lift rutting and 63% of the binder lift rutting data indicate no difference in pay as a result of discrepancy between predictive model and quality-related specification software-measured pay factors. Observations and recommendations for implementation and further study are presented in this paper.

    Original languageEnglish (US)
    Pages (from-to)792-809
    Number of pages18
    JournalRoad Materials and Pavement Design
    Volume14
    Issue number4
    DOIs
    StatePublished - Dec 1 2013

    All Science Journal Classification (ASJC) codes

    • Civil and Structural Engineering

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