Doctoral Dissertations

Keywords and Phrases

Anchor; Deflection; Helical; Prediction


”As the sophistication of modern structural design methods has improved over time, the ability to accurately predict and model foundation stiffness has become increasingly more important. In complicated structural systems with deep foundations, correct calculation of the distribution of load and serviceability requires proper modeling of axial load-deflection characteristics. To keep pace with advances in structural analysis, there is much need for more practical and scientific work on the load-deflection prediction of deep foundations including Helical Anchors.

The load-settlement mechanism of an axially loaded helical pile is a complex soil-structure interaction problem influenced by helical pile dimensions, installation method, and ground conditions. Due to uncertainties and a general lack of consistent methodology, pile load tests are often used to verify load-deflection design assumptions. In this study, a comprehensive data set of over 350 full-scale tension and compression tests are analyzed and summarized. These data points were collected for the AC358 evaluation of individual helical pile manufacturers by CTL Thompson, Inc. The data includes helical pile sizes ranging from 1.5” square shaft to 4.5” round shaft. Load test data are evaluated using a statistical hyperbolic fit technique introduced here and a previously published graphical method (Perko 4 Point Method). Trends in the data are compared with 11 categories of geometry and geotechnical factors such as pile shape, shaft size, number of helix, theoretical capacity by torque, and soil type”--Abstract, page iii.


Rogers, J. David

Committee Member(s)

Cawlfield, Jeffrey D.
Grote, Katherine R.
Flori, Ralph E.
Mulligan, Phillip R.
Perko, Howard


Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Geological Engineering


Missouri University of Science and Technology

Publication Date

Summer 2021


xi, 739 pages

Note about bibliography

Includes bibliographic references (pages 727-738).


© 2021 Andre Stephen Hawks, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 12081