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http://dx.doi.org/10.5000/EESK.2008.12.6.013

FE Model Updating on the Grillage Model for Plate Girder Bridge Using the Hybrid Genetic Algorithm and the Multi-objective Function  

Jung, Dae-Sung (명지대학교 토목환경공학과)
Kim, Chul-Young (명지대학교 토목환경공학)
Publication Information
Journal of the Earthquake Engineering Society of Korea / v.12, no.6, 2008 , pp. 13-23 More about this Journal
Abstract
In this study, a finite element (FE) model updating method based on the hybrid genetic algorithm (HGA) is proposed to improve the grillage FE model for plate girder bridges. HGA consists of a genetic algorithm (GA) and direct search method (DS) based on a modification of Nelder & Mead's simplex optimization method (NMS). Fitness functions based on natural frequencies, mode shapes, and static deflections making use of the measurements and analytical results are also presented to apply in the proposed method. In addition, a multi-objective function has been formulated as a linear combination of fitness functions in order to simultaneously improve both stiffness and mass. The applicability of the proposed method to girder bridge structures has been verified through a numerical example on a two-span continuous grillage FE model, as well as through an experimental test on a simply supported plate girder skew bridge. In addition, the effect of measuring error is considered as random noise, and its effect is investigated by numerical simulation. Through numerical and experimental verification, it has been proven that the proposed method is feasible and effective for FE model updating on plate girder bridges.
Keywords
finite element model updating; hybrid genetic algorithm; simplex method; grillage model;
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Times Cited By KSCI : 3  (Citation Analysis)
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