Generalized Nonlinear Softening Load-Transfer Model for Axially Loaded Piles
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VIEW THE REPLYPublication: International Journal of Geomechanics
Volume 17, Issue 8
Abstract
This paper presents the derivation of a generalized nonlinear softening load-transfer model to analyze the load-settlement response for a single pile subjected to axial loading. The model requires the calculation of a single parameter, n, so that the number of field trial tests can be reduced significantly compared with other empirical solutions with multiple parameters. Variations in n can provide approximations for different soil–pile interaction systems. The model explicitly considers both the hardening and degradation behavior of skin friction with shear displacement. The effectiveness of the proposed method was verified through comparison of the evaluations with field measurements and other analysis results. A hyperbolic load-settlement model of pile-point resistance was incorporated with the load-transfer function for skin friction to develop an efficient computer program for settlement analysis of axially loaded piles. A comparison was made between the current approach and other analyses. Satisfactory performance was obtained for the new calculation framework, where the estimated settlement differed within 13%. In this paper, the softening effect of load-settlement response of a pile is also illustrated in a worked example.
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Acknowledgments
This work was supported by the National Science Fund for Excellent Young Scholars (Grant 51322807), the National Natural Science Foundation of China (Grant 51578164), the Guangxi Natural Science Foundation (Grant 2016GXNSFGA380008), and the Ministry of Education of China through the Changjiang Scholars Program to Dr. Guoxiong Mei.
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Published In
International Journal of Geomechanics
Volume 17 • Issue 8 • August 2017
Copyright
© 2017 American Society of Civil Engineers.
History
Received: May 5, 2016
Accepted: Dec 9, 2016
Published online: Feb 14, 2017
Discussion open until: Jul 14, 2017
Published in print: Aug 1, 2017
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