Chapter
Feb 8, 2016

Calibration of the Load and Resistance Factors for Axial Pile Capacity Design

Publication: Geotechnical and Structural Engineering Congress 2016

Abstract

To evaluate the required resistance factor for geotechnical foundation design, an approach was developed to evaluate the annual probability of failure and to calibrate the required deterministic safety factors. The paper describes the approach and presents the calibrated load and resistance factors corresponding to an annual probability of failure of 10-4 for three jacket structures offshore Norway and the U.K. The results of generic calculations of load and resistance factors are also presented. These compared well with the calibrated load and resistance factors obtained for the three “real-life” jackets. The calibration of the load and resistance factors requires the evaluation of the model uncertainty for each pile design method and the statistics of the uncertain parameters in the analyses. The results show that the annual probability of failure varies significantly with pile design method. The annual probability of failure depended strongly on the uncertainty in the geotechnical calculation model. Suggestions for improvements to the methodology and to the codes are made, including how to define and improve the evaluation of the model uncertainty.

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Go to Geotechnical and Structural Engineering Congress 2016
Geotechnical and Structural Engineering Congress 2016
Pages: 660 - 673

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Published online: Feb 8, 2016

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Suzanne Lacasse, F.ASCE [email protected]
Norwegian Geotechnical Institute (NGI), P.O. Box 3930, Ullevaal Stadion, 0806 Oslo, Norway. E-mail: [email protected]
Farrokh Nadim, M.ASCE [email protected]
Norwegian Geotechnical Institute (NGI), P.O. Box 3930, Ullevaal Stadion, 0806 Oslo, Norway. E-mail: [email protected]
Zhongqiang Liu [email protected]
Norwegian Geotechnical Institute (NGI), P.O. Box 3930, Ullevaal Stadion, 0806 Oslo, Norway. E-mail: [email protected]
Young Jae Choi [email protected]
NGI Inc., 2000 S. Dairy Ashford, Ste 322, Houston, TX 77077. E-mail: [email protected]

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