Technical Papers
Apr 23, 2013

Performance-Based Reliability Analysis of Laterally Loaded Drilled Shafts

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 139, Issue 12

Abstract

Analysis of laterally loaded piles or drilled shafts is a complex soil–structure interaction problem for which the py method has been widely accepted as a computational tool for predicting the load-displacement behavior. This paper presents a sampling-based method that can be applied to reliability analysis of the load-deflection behavior for laterally loaded piles. Various sources of uncertainties arising from soil properties, analysis model, and py criteria can be taken into account in the proposed method. In particular, soil properties needed as input for determining site-specific py curves were modeled as random fields. To statistically characterize the random field of a soil parameter, the field mean, the field variance, and the correlation structure are required. The performance of a pile under lateral loading is evaluated using a different set of random samples in each realization. The probability of failure, in which failure is defined as the event of not meeting the prescribed performance criteria, is calculated as the number of failures divided by the total number of samples. A numerical example is presented at the end of paper to demonstrate practical applications of the developed sampling-based method.

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Published In

Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 139Issue 12December 2013
Pages: 2020 - 2027

History

Received: Jun 12, 2012
Accepted: Apr 22, 2013
Published online: Apr 23, 2013
Published in print: Dec 1, 2013

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Authors

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Haijian Fan, S.M.ASCE [email protected]
Graduate Research Assistant, Dept. of Civil Engineering, Univ. of Akron, Akron, OH 44325-3905 (corresponding author). E-mail: [email protected]
Robert Liang, F.ASCE [email protected]
Distinguished Professor, Dept. of Civil Engineering, Univ. of Akron, Akron, OH 44325-3905. E-mail: [email protected]

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