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http://dx.doi.org/10.9765/KSCOE.2013.25.2.112

Estimation of Ultimate Bearing Capacity of Gravel Compaction Piles Using Nonlinear Regression Analysis  

Park, Joon Mo (Department of Civil and Environmental Engineering, Dongguk University)
Han, Yong Bae (Department of Civil and Environmental Engineering, Dongguk University)
Jang, Yeon Soo (Department of Civil and Environmental Engineering, Dongguk University)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.25, no.2, 2013 , pp. 112-121 More about this Journal
Abstract
The calibration of resistance factor in reliability theory for limit state design of gravel compaction piles (GCP) requires a reliable estimate of ultimate bearing capacity. The static load test is commonly used in geotechnical engineering practice to predict the ultimate bearing capacity. Many graphical methods are specified in the design standard to define the ultimate bearing capacity based on the load-settlement curve. However, it has some disadvantages to ensure reliability to obtain an uniform ultimate load depend on engineering judgement. In this study, a well-fitting nonlinear regression model is proposed to estimate the ultimate bearing capacity, for which a nonlinear regression analysis is applied to estimate the ultimate bearing capacity of GCP and the results are compared with those calculated using previous graphical method. Affect the resistance factor of the estimate method were analyzed. To provide a database in the development of limit state design, the load test conditions for predicting the ultimate bearing capacity from static load test are examined.
Keywords
gravel compaction piles; gcp; ultimate bearing capacity; nonlinear regression analysis; limit state design; static load test; resistance factor;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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