Long-Term Aging of Asphalt Mixtures for Performance Testing and Prediction: Phase III Results

This report presents methods to accurately condition asphalt mixtures to match their long-term aging in service. Under NCHRP Project 09-54, the research team was tasked with developing a practical laboratory aging method to simulate more accurately the long-term in situ aging of asphalt mixtures for the purposes of performance testing and prediction. The research was conducted in three phases. The findings and results of Phases I and II were published in 2018 in NCHRP Research Report 871: Long-Term Aging of Asphalt Mixtures for Performance Testing and Prediction. This report presents the findings and results of Phase III. The research improved upon the proposed long-term aging procedure by developing a new, simplified Climatic Aging Index (CAI) to determine the necessary duration of asphalt loose mix conditioning for a specific project location. It carried out a field calibration and validation of the previously developed Pavement Aging Model (PAM). The PAM predicts the |G*| value of an asphalt binder at any field aging duration, pavement depth, and climate. Finally, the research produced an Asphalt Mixture Aging-Cracking (AMAC) Model that translates changes in binder |G*| predicted from PAM to changes in mixture linear viscoelastic and fatigue properties. The key outcomes of this research are (1) a Proposed Standard Method of Test for LongTerm Conditioning of Hot Mix Asphalt (HMA) for Performance Testing in the attachment at the end of the report, which incorporates the CAI to determine the required long-term conditioning duration that reflects the desired field aging in terms of age, climate, and depth; (2) the PAM in Table 9 of the report; and (3) the AMAC Model in Chapter 6 of the report.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; Photos; References; Tables;
  • Pagination: 193p
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01773657
  • Record Type: Publication
  • ISBN: 9780309674164
  • Report/Paper Numbers: Project 09-54
  • Files: TRIS, TRB, ATRI
  • Created Date: Jun 1 2021 1:12PM