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http://dx.doi.org/10.5000/EESK.2006.10.6.019

Numerical Verification of Hybrid Optimization Technique for Finite Element Model Updating  

Jung, Dae-Sung (명지대학교 토목환경공학과)
Kim, Chul-Young (명지대학교 토목환경공학과)
Publication Information
Journal of the Earthquake Engineering Society of Korea / v.10, no.6, 2006 , pp. 19-28 More about this Journal
Abstract
Most conventional model updating methods must use mathematical objective function with experimental modal matrices and analytical system matrices or must use information about the gradient or higher derivatives of modal properties with respect to each updating parameter. Therefore, most conventional methods are not appropriate for complex structural system such as bridge structures due to stability problem in inverse analysis with ill-conditions. Sometimes, moreover, the updated model may have no physical meaning. In this paper, a new FE model updating method based on a hybrid optimization technique using genetic algorithm (GA) and Holder-Mead simplex method (NMS) is proposed. The performance of hybrid optimization technique on the nonlinear problem is demonstrated by the Goldstein-Price function with three local minima and one global minimum. The influence of the objective function is evaluated by the case study of a simulated 10-dof spring-mass model. Through simulated case studies, finally, the objective function is proposed to update mass as well as stiffness at the same time. And so, the proposed hybrid optimization technique is proved to be an efficient method for FE model updating.
Keywords
hybrid optimization technique; finite element model updating; genetic algorithm; simplex method;
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