Investigation of the Asphalt Pavement Analyzer (APA) testing program in Nebraska.
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields



Publication Date Range:


Document Data


Document Type:






Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page


Investigation of the Asphalt Pavement Analyzer (APA) testing program in Nebraska.

Filetype[PDF-1.18 MB]

  • English

  • Details:

    • Publication/ Report Number:
    • Resource Type:
    • Geographical Coverage:
    • NTL Classification:
    • Abstract:
      The asphalt pavement analyzer (APA) has been widely used to evaluate hot-mix asphalt (HMA) rutting potential in mix

      design and quality control-quality assurance (QC-QA) applications, because the APA testing and its data analyses are

      relatively simple, rapid, and easy. However, as demonstrated in many studies and also experienced by the state of

      Nebraska, APA testing is in question due to its high testing variability and a lack of sufficient correlation with actual filed

      performance. The primary objective of this research was to find critical materials and/or mixture design factors affecting

      APA test results so as to eventually improve the current APA testing program in Nebraska. In addition to that,

      development of models to predict APA rut performance with given properties of HMA mixture ingredients and mixture

      design characteristics were also attempted. To find variables affecting APA rut results and the extent of these variables,

      SP-4 mixture data from Nebraska and HMA mixture data from Kentucky were statistically analyzed using the multiple

      linear regression method considering six factors (binder PG, aggregate gradation, nominal maximum aggregate size,

      aggregate angularity, air voids in mixture, and asphalt content in mixture) as probable candidates for significantly

      affecting APA rut results. For a detailed characterization of gradation effects, three indicators (gradation density, fineness

      modulus, and restricted zone) were considered, and each of them was used for each statistical analysis. Results from

      analyses demonstrated that the binder PG was the only variable that always shows significant impact on APA rut results,

      which is in good agreement with other studies. Predicting models developed through the results of multiple linear

      regression analysis and the artificial neural network technique presented a relatively low level of model adequacy which

      can be observed by the coefficients of determination and cross-plots between predicted APA rut values and the measured

      APA rut data. More data would be helpful to confirm the findings from this research and also to develop a better

      prediction model.

    • Format:
    • Main Document Checksum:
    • File Type:

    Supporting Files

    • No Additional Files

    More +

    You May Also Like

    Checkout today's featured content at

    Version 3.26