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http://dx.doi.org/10.7843/kgs.2008.24.1.119

Reliability-Based Design of Shallow Foundations Considering The Probability Distribution Types of Random Variables  

Kim, Chang-Dong (Geotechnical Eng. & Design Dept. EJtech)
Kim, Soo-Il (Dept. of Civil Eng, Yonsei Univ.)
Lee, Jun-Hwan (Dept. of Civil Eng, Yonsei Univ.)
Kim, Byung-Il (Research & Development Center, EJtech)
Publication Information
Journal of the Korean Geotechnical Society / v.24, no.1, 2008 , pp. 119-130 More about this Journal
Abstract
Uncertainties in physical and engineering parameters for the design of shallow foundations arise from various aspects such as inherent variability and measurement error. This paper aims at investigating and reducing uncertainty from deterministic method by using the reliability-based design of shallow foundations accounting for the variation of various design parameters. A probability distribution type and statistics of random variables such as unit weight, cohesion, infernal friction angle and Young's modulus in geotechnical engineering are suggested to calculate the ultimate bearing capacities and immediate settlements of foundations. Reliability index and probability of failure are estimated based on the distribution types of random variables. Widths of foundation are calculated at target reliability index and probability of failure. It is found that application and analysis of the best-fit distribution type for each random variables are more effective than adoption of the normal distribution type in optimizing the reliability-based design of shallow foundations.
Keywords
Probability distribution type; Random variable; Reliability-based design; Shallow foundation;
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