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http://dx.doi.org/10.7734/COSEIK.2013.26.3.191

Probabilistic Nonlinear Analysis of Semi-Rigid Frames Considering Random Elastic Modulus  

Kim, Dae Young (Department of Civil&Environmental Engineering, Sejong Univ.)
Noh, Hyuk Chun (Department of Civil&Environmental Engineering, Sejong Univ.)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.26, no.3, 2013 , pp. 191-198 More about this Journal
Abstract
In this paper, the effects of uncertain material constant on the nonlinear behavior of steel frames with semi-rigid joints are examined. As to the probabilistic model, a normal distribution is assumed to simulate the uncertain elastic modulus of steel material. A nonlinear structural analysis program, which can consider both semi-rigidity in joints of the steel frames and uncertainty in the material constant, is developed. Including the geometric, material and connection nonlinearites which are the parameters of nonlinear behavior of steel frames, probabilistic analysis is conducted based on the Monte-Carlo simulation. In the probabilistic analyses, we consider the three different cases for random variables. The deterministic analysis results are shown to be in good agreement with those of the previous research results in the literature. As to the probabilistic analyses, it is observed that the coefficient of variation(COV) of displacements increases as the loading increases, and that the values of COV are dependent on the structural features of the frames.
Keywords
semi-rigid connection; nonlinearities; correlation; Monte Carlo simulation;
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Times Cited By KSCI : 1  (Citation Analysis)
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