Service limit state resistance factors for drilled shafts
Author(s) -
Anil Misra,
Lance A. Roberts
Publication year - 2008
Publication title -
géotechnique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.775
H-Index - 135
eISSN - 1751-7656
pISSN - 0016-8505
DOI - 10.1680/geot.2008.3605
Subject(s) - limit state design , settlement (finance) , stiffness , geotechnical engineering , engineering , structural engineering , foundation (evidence) , probabilistic logic , monte carlo method , reliability (semiconductor) , soil structure interaction , limit (mathematics) , finite element method , mathematics , computer science , statistics , physics , mathematical analysis , power (physics) , archaeology , quantum mechanics , world wide web , payment , history
The analysis of bored piles, or drilled shafts, at the service limit state is important when foundation settlements are critical to the operation of a structure. The t–z method is a widely used soil–structure interaction model for the analysis of drilled shaft settlement. In current practice, nominal values of soil stiffness and strength parameters are used to determine settlement based upon the t–z method. However, the nominal values can vary from one designer to another, making the results somewhat inconsistent. By considering reliability-based design principles, probabilistic relationships can be incorporated into the settlement analysis of the drilled shaft, and thus design uncertainty can be quantified. Following this approach, load and resistance factor design (LRFD) procedures may be utilised and resistance factors established for use in design. Using a t–z model and the Monte Carlo simulation process, probability distributions are determined for drilled shaft capacity at the service limit state. R...
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom