کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
255089 503348 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Implementation of Bayesian theory on LRFD of axially loaded driven piles
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Implementation of Bayesian theory on LRFD of axially loaded driven piles
چکیده انگلیسی

In this paper, a framework based on Bayesian theory and proof pile load test results was used to update resistance factors of axially loaded driven piles. Prior to implementation of the framework, resistance factors were calibrated based on the distribution of the measured-to-predicted pile ultimate bearing capacity using the results of static pile load tests conducted to failure. These resistance factors and the distribution were considered to be “prior.” The prior distribution of the measured-to-predicted ultimate bearing capacity was updated based on Bayesian theory to incorporate additional proof pile load test results. Using the measured-to-predicted load distributions and the updated (or posterior) measured-to-predicted bearing capacity distributions, resistance factors were calibrated (or updated) from the first-order reliability method (FORM) for two different target reliability indices, 2.33 and 3.0. This research attempted to use the results of proof pile load tests, which are generally conducted to verify pile designs, to update resistance factors. The updated resistance factors varied substantially depending on the proof pile load test results. Therefore, the Bayesian implementation can contribute to economical pile designs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Geotechnics - Volume 42, May 2012, Pages 73–80
نویسندگان
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