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http://dx.doi.org/10.7843/kgs.2019.35.6.17

Estimation of Resistance Bias Factors for the Ultimate Limit State of Aggregate Pier Reinforced Soil  

Bong, Tae-Ho (Institute of Construction and Environmental Engrg., Seoul National Univ.)
Kim, Byoung-Il (Dept. of Civil and Environmental Engrg., Myongji Univ.)
Kim, Sung-Ryul (Dept. of Civil and Environmental Engrg., Seoul National Univ.)
Publication Information
Journal of the Korean Geotechnical Society / v.35, no.6, 2019 , pp. 17-26 More about this Journal
Abstract
In this study, the statistical characteristics of the resistance bias factors were analyzed using a high-quality field load test database, and the total resistance bias factors were estimated considering the soil uncertainty and construction errors for the application of the limit state design of aggregate pier foundation. The MLR model by Bong and Kim (2017), which has a higher prediction performance than the previous models was used for estimating the resistance bias factors, and its suitability was evaluated. The chi-square goodness of fit test was performed to estimate the probability distribution of the resistance bias factors, and the normal distribution was found to be most suitable. The total variability in the nominal resistance was estimated including the uncertainty of undrained shear strength and construction errors that can occur during the aggregate pier construction. Finally, the probability distribution of the total resistance bias factors is shown to follow a log-normal distribution. The parameters of the probability distribution according to the coefficient of variation of total resistance bias factors were estimated by Monte Carlo simulation, and their regression equations were proposed for simple application.
Keywords
Limit state design; Load and resistance factor design; Aggregate pier; Ultimate bearing capacity; Resistance bias factors;
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Times Cited By KSCI : 4  (Citation Analysis)
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