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http://dx.doi.org/10.12652/Ksce.2011.31.6C.259

Local Resistance Factor Update of Driven Steel Pipe Piles Using Proof Pile Load Test Results  

Park, Jae Hyun (한국건설기술연구원 Geo-인프라연구실)
Kim, Dongwook (한국건설기술연구원 Geo-인프라연구실)
Chung, Choong Ki (서울대학교 건설환경공학부)
Kim, Sung Ryul (동아대학교 토목공학과)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.6C, 2011 , pp. 259-266 More about this Journal
Abstract
Conducting statistical analysis of foundation resistance using sufficient number of well-performed load test results is prerequisite for the calibration of reliable resistance factors for foundation LRFD. In this study, a rational analysis method is proposed so that the proof pile load test results can be reflected in update of resistance statistical characteristics based on Bayesian theory. Then, resistance factors for driven steel pipe piles compatible with Korea foundation practices are updated by implementing this rational analysis method. To accomplish the resistance factor updates, (1) prior pile resistance distribution is constructed based on the results of pile load tests, which loads are imposed at least up to their ultimate limit loads. (2) likelihood function is obtained from the results of proof pile load tests, and (3) posterior pile resistance distribution is updated by combining these prior pile resistance distribution and likelihood function. The resistance factors are updated using the posterior pile resistance following the first-order reliability method (FORM). From the possible results of five consecutive proof pile load tests, the updated resistance factors vary within ranges of 0.27-0.96 and 0.19-0.68 for target reliability indices of 2.33 and 3.0, respectively. Consequently, it was found that the Bayesian theory-implemented method enables the updates of resistance factors in an efficient way when reliable resistance factors are not available due to the lack of well-performed pile load test results.
Keywords
Resistance factor; driven steel pipe piles; proof pile load test; Bayesian theory; FORM;
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Times Cited By KSCI : 1  (Citation Analysis)
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