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Structural Engineering and Mechanics Volume 29, Number 5, July30 2008 , pages 469-488 DOI: https://doi.org/10.12989/sem.2008.29.5.469 |
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Non-stochastic interval arithmetic-based finite element analysis for structural uncertainty response estimate |
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Dongkyu Lee, Sungsoo Park and Soomi Shin
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| Abstract | ||
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Finite element methods have often been used for structural analyses of various mechanical problems. When finite element analyses are utilized to resolve mechanical systems, numerical uncertainties in the initial data such as structural parameters and loading conditions may result in uncertainties in the structural responses. Therefore the initial data have to be as accurate as possible in order to obtain reliable structural analysis results. The typical finite element method may not properly represent discrete systems when using uncertain data, since all input data of material properties and applied loads are defined by nominal values. An interval finite element analysis, which uses the interval arithmetic as introduced by Moore (1966) is proposed as a non-stochastic method in this study and serves a new numerical tool for evaluating the uncertainties of the initial data in structural analyses. According to this method, the element stiffness matrix includes interval terms of the lower and upper bounds of the structural parameters, and interval change functions are devised. Numerical uncertainties in the initial data are described as a tolerance error and tree graphs of uncertain data are constructed by numerical uncertainty combinations of each parameter. The structural responses calculated by all uncertainty cases can be easily estimated so that structural safety can be included in the design. Numerical applications of truss and frame structures demonstrate the efficiency of the present method with respect to numerical analyses of structural uncertainties. | ||
| Key Words | ||
| non-stochastic; interval arithmetic; finite element method; structural uncertainty; initial data; interval change function; tolerance error. | ||
| Address | ||
| Dongkyu Lee: Architectural Engineering Research Department, Steel Structure Research Laboratory, Research Institute of Industrial Science & Technology, Korea Sungsoo Park and Soomi Shin: Department of Architectural Engineering, Pusan National University, Busan, Korea | ||