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Hydraulic fracture test to determine aggregate freeze-thaw durability.

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  • Abstract:
    The freeze‐thaw durability of carbonate aggregates can vary greatly from durable to highly susceptible to freeze‐thaw distress.  Using 

    nondurable  aggregate  in  concrete pavement  exposed to freeze‐thaw  cycles may  lead to serious distress  and  greatly decrease the 

    pavement’s service life.  The testing needed to identify freeze‐thaw durable aggregates can take several months to complete.  The main 

    objective of this study was to develop a reliable, quick test method for determining the freeze‐thaw resistance of carbonate quarried 

    aggregates in Indiana using the Hydraulic Fracture Test (HFT) equipment. 

     

    Aggregate samples  collected  from  18  quarried  carbonate sources  from  across  Indiana  that  represented  a  range  of  freeze‐thaw 

    performance  were subjected to HFT  using the  existing  MnDOT HFT  equipment  and the  newly  developed  INDOT HFT  equipment.  

    Aggregates from the same sources also were used to produce concrete beams that were subjected to the INDOT modified AASHTO 

    T161‐B freeze‐thaw test (ITM 210) which evaluates the dilation of concrete beams exposed to freeze‐thaw cycles.  The experimental 

    data were analyzed statistically and linear regression models were developed to predict the average percent dilation and the durability 

    factor of freeze‐thaw test beams using parameters obtained from HFT results.  Comparing the modeled and measured test results, the 

    favored model predicts dilations based on the INDOT HFT results.  These modeled dilations, when compared to measured dilations gave 

    an adjusted R2 value of 0.85, indicating the model has a high degree of certainty.   The modified INDOT HFT equipment, refined test 

    procedures and data analysis developed during this study are recommended as screening tools for predicting AASHTO T161/ASTM C666 

    FT test results in 8‐days.  Further testing is recommended to refine and validate the models before they are fully implemented as an 

    acceptance standard. 

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