Investigation of testing methods to determine long-term durability of Wisconsin aggregates.

Details

• Creators:
  Tabatabai, Habib ; Titi, Hani ; Lee, Chin-Wei ; Qamhia, Issam ; Fella, Guillermo Puerta
• Corporate Creators:
  University of Wisconsin--Milwaukee. Dept. of Civil Engineering and Mechanics
• Corporate Contributors:
  United States. Federal Highway Administration
• Subject/TRT Terms:
  • Aggregates
  • Recycled materials
  • Quality control
  • Performance tests
  • Freeze thaw tests
  • Durability
  • Sodium sulfate
  • Statistical analysis
  • Regression analysis
• Publication/ Report Number:
  WisDOT SPR# 0092-10-08
• Resource Type:
  Tech Report
• Geographical Coverage:
  Wisconsin
• Corporate Publisher:
  Wisconsin. Dept. of Transportation. Library and Research Unit ; Wisconsin Highway Research Program
• Abstract:
  Approximately 10 to 11 million tons of aggregates are utilized in transportation infrastructure projects in ; Wisconsin annually. The quality of aggregates has a tremendous influence on the performance and durability ; of roadways and bridges. In this Phase II research study, detailed statistical analyses were performed on over ; 1,000 sets of historical aggregate test results and the experimental results from the Phase I study. Test results ; from other states were analyzed as well. Aggregate tests were performed on 12 known marginal or poor ; Wisconsin aggregates to specifically address test performance of such aggregates. Selected aggregates were ; scanned using X-ray computed tomography to assess the effects of freeze-thaw and sodium sulfate exposure ; on the internal void system. The results of multi-parameter logistic regression analyses show that the pass/fail ; outcomes of the Micro-Deval test can be predicted when LA abrasion, absorption, and sodium sulfate ; soundness test results are known. The unconfined freeze-thaw test outcomes cannot be predicted from results ; of other tests (not correlated). Therefore, the unconfined freeze-thaw test should be part of any test protocol as ; it measures an aggregate characteristic that cannot be obtained from other tests. The percentiles associated ; with any proposed acceptance threshold limits for various aggregate tests should be determined using the ; statistical data provided.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25900/dot_25900_DS1.pdf
• File Type:
  [PDF - 7.18 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:e1045c49c941fda511b92eaeb2eb317b45dba3c73963fc00fc2905a0f5a561cabfb9469a67a09a41cb9bcc9fe6c4c5ad4ee2ec4895e2647e1bf95bccaf09eabc