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Investigation of Testing Methods to Determine Long-term Durability of Wisconsin Aggregates

Download or Read eBook Investigation of Testing Methods to Determine Long-term Durability of Wisconsin Aggregates PDF written by and published by . This book was released on 2013 with total page 112 pages. Available in PDF, EPUB and Kindle.
Investigation of Testing Methods to Determine Long-term Durability of Wisconsin Aggregates
Author :
Publisher :
Total Pages : 112
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ISBN-10 : WISC:89114889132
ISBN-13 :
Rating : 4/5 (32 Downloads)

Book Synopsis Investigation of Testing Methods to Determine Long-term Durability of Wisconsin Aggregates by :

Book excerpt: 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.


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