Abstract: This paper presents the development of load transfer models and their variability values for use in probabilistic analysis and design of drilled shafts at service limit state. The development used intensive regression analysis on full scale load test data. The analyses were carried out for both side resistance and tip resistance. Five functional models, and two different types of regression analyses were performed, non-weighted least squares regression and weighted least squares regression. The hyperbolic function obtained from non-weighted least squares regression was found to fit the load transfer data best. This paper also presents the effects that the two load transfer normalization approaches have on the resistance factors: the normalization-to-maximum measured values approach and normalization-to-maximum predicted approach. The recommendation is when developing load transfer t-z curves, the normalization-to-maximum measured values approach is preferred to use.
Keywords: Load and resistance factor design (LRFD); Regression analysis; Foundation design; Resistance factors; Service limit state; Probabilistic analyses.
Title: DEVELOPING LOAD TRANSFER MODELS FOR DRILLED SHAFTS
Author: Thuy Vu, Erik Loehr, Douglas Smith
International Journal of Civil and Structural Engineering Research
ISSN 2348-7607 (Online)
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