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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A Comparison Of Load Test Data And Predicted Behavior Of Augercast Piles In Layered Soils

Hudson, John 01 January 2008 (has links)
The use of auger cast-in-place (ACIP) pilings is very common in Florida; however, there is a significant degree of uncertainty in determining the actual capacity of the pilings, especially when the pilings are installed through layers of cohesive soils. Therefore, there is a need to improve upon the existing methods of predicting the behavior of ACIP piles in layered soils. As a result, the primary objective of this study is to determine if a significant difference exists between the accepted methods of pile load test analysis. Provided a significant difference is noted, the secondary objective would be to determine if an improvement could be made to enhance the existing empirical relationships used to predict pile behavior in layered soils. In order to accomplish these objectives, this study presents an evaluation of some of the most commonly used methods for predicting ACIP pile capacity based upon the results of actual field load tests. Data from twenty-five load tests were analyzed using popular methods and statistical analyses were preformed to determine and evaluate the data. These evaluations were utilized to explore correlations between predicted behavior and actual results. Based upon the results of this study, there is no statistically significant difference between the load test analyses methods examined. As a result, no improvement to the existing methods of predicting ACIP pile behavior in layered soils may be recommended at this time, and further research in this subject matter is recommended.

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