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Extrapolation of O-cell drilled shaft tests for load and resistance factor design (LRFD) calibration

Authors :
Xinbao Yu
Murad Y. Abu-Farsakh
Md. Rakib Hasan
Source :
Acta Geotechnica. 16:491-506
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Load tests of drilled shafts are often performed using Osterberg cell (O-cell) testing, a popular load test method for drilled shafts, which measures both side and tip resistance. However, it is common that only one of the resistance components can be fully mobilized. Therefore, extrapolation of the partially mobilized resistance is often required to determine the total resistance or the equivalent top-down curve. The extrapolation tends to introduce errors to the constructed total resistance values, which subsequently affect the calibrated resistance factors required for the LRFD design of drilled shafts. In this study, eight O-cell tests of drilled shafts with total measured resistances close to the failure criteria defined by FHWA, 5% of the shaft diameter (B), were collected among 64 drilled shaft load tests from Louisiana and Mississippi. For each of the eight cases, extrapolation was performed on both tip and side movement curves for the construction of the equivalent top-down load-settlement (ELT) curves. Data points from the measured side or tip movement curve were removed systematically to create a total of 80 cases with partially mobilized movement curves, and extrapolation exercises were performed on each fabricated case to obtain its equivalent top-down curve. The error of bias for each fabricated case was determined for statistical analyses. Multiple linear regression analysis was performed on the bias errors to model the bias errors caused by extrapolation. Calibrated resistance factors were determined and compared between the original database and fabricated database needing extrapolation. A correction method is proposed, based on a linear regression relationship, to estimate and minimize the extrapolation error of bias for less mobilized databases.

Details

ISSN :
18611133 and 18611125
Volume :
16
Database :
OpenAIRE
Journal :
Acta Geotechnica
Accession number :
edsair.doi...........073e5bbfdcfdc4dc97557c470c27a38b