Technical Papers
Jun 8, 2018

Simulation of Torsionally Loaded Deep Foundations Considering State-Dependent Load Transfer

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 144, Issue 8

Abstract

Deep foundations may need to resist torsional loads, resulting from wind loading on traffic sign and signal pole structures, or seismic loading on curved or skewed bridges. Although design methods for deep foundations at the ultimate limit states are readily available, no significant effort exists to quantify the accuracy of existing load transfer–based torsion-rotation methods to predict the full-scale, in-service rotation performance that considers state-dependence of the soil. To facilitate the serviceability and ultimate limit state design of geometrically variable deep foundations constructed in multilayered soils, this paper presents a torsional load transfer method using a finite-difference model (FDM) framework. Simplified state-dependent load transfer models that relate the unit torsional resistance to the magnitude of relative displacement are developed considering soil-structure interface shear test results. The proposed FDM methodology is validated by comparison with existing analytical solutions and with physical model tests. Parametric studies are conducted to illustrate the role of various design parameters and demonstrate significant effects of nonlinear soil-structure response on the torsional behavior of deep foundations, including the effects of pressure-dependent softening at the soil-structure interface.

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Acknowledgments

This research was funded by Grant Nos. SPR 304-701 and DTRT13-G-UTC4O through the Oregon Department of Transportation and the Pacific Northwest Transportation Consortium, respectively, for which the authors are grateful. The authors thank Professor Andre Barbosa of Oregon State University for helpful discussions regarding the structural response to torsion.

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 144Issue 8August 2018

History

Received: Sep 5, 2017
Accepted: Mar 12, 2018
Published online: Jun 8, 2018
Published in print: Aug 1, 2018
Discussion open until: Nov 8, 2018

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Authors

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Qiang Li, A.M.ASCE
Graduate Research Assistant, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331.
Armin W. Stuedlein, M.ASCE [email protected]
Associate Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331 (corresponding author). Email: [email protected]

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