Location
St. Louis, Missouri
Date
02 Jun 1993, 9:00 am - 12:00 pm
Abstract
Results of axial compressive load tests on three small diameter pipe piles driven in a varved clay deposit are presented. Predictions of the axial pile capacity were made using the a-method originally proposed by Tomlinson (1957, 1971) and incorporating undrained strength profiles determined with the field vane. Predicted and measured capacities are compared and discussed in light of the various factors which can affect the outcome such as vane geometry, vane testing procedure and interpretation, pile load testing conditions, and empirical relationships incorporated in predictions.
Department(s)
Civil, Architectural and Environmental Engineering
Meeting Name
3rd Conference of the International Conference on Case Histories in Geotechnical Engineering
Publisher
University of Missouri--Rolla
Document Version
Final Version
Rights
© 1993 University of Missouri--Rolla, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Document Type
Article - Conference proceedings
File Type
text
Language
English
Recommended Citation
Miller, G. A. and Lutenegger, A. J., "Analysis of Small Pipe Piles Using the Field Vane" (1993). International Conference on Case Histories in Geotechnical Engineering. 1.
https://scholarsmine.mst.edu/icchge/3icchge/3icchge-session01/1
Analysis of Small Pipe Piles Using the Field Vane
St. Louis, Missouri
Results of axial compressive load tests on three small diameter pipe piles driven in a varved clay deposit are presented. Predictions of the axial pile capacity were made using the a-method originally proposed by Tomlinson (1957, 1971) and incorporating undrained strength profiles determined with the field vane. Predicted and measured capacities are compared and discussed in light of the various factors which can affect the outcome such as vane geometry, vane testing procedure and interpretation, pile load testing conditions, and empirical relationships incorporated in predictions.
