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所属单位：航空学院

发表刊物：J Vib Shock

摘要：Here, the FE model updating method based on surrogate model was studied. An augmented support vector machine (SVM) based on hybrid basis functions was proposed for solving over-fitting results when SVM was used to deal with weak nonlinear functions. Based on dynamic test results measured and calculated results with a structural finite element model, according to design requirements, sensitivity analysis or engineering experience, appropriate parameters to be modified and modification ranges were chosen to determine the modification sample space and sample points. Then, the surrogate model for each group of sample points and corresponding objective function was constructed adopting the augmented SVM. The multi-objective optimization algorithm based on Pareto optimal solution was introduced to find the global optimal solution to parameters to be modified within the modification interval taking the output of the surrogate model as the objective and the sample space as variables. Example 1 showed that the prediction results with the augmented SVM have a higher accuracy than those with the traditional SVM do. Example 2 and 3 showed that the structural dynamic model updating based on the proposed augmented SVM is valuable in actual application and its results have a higher precision. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.

ISSN号：1000-3835

是否译文：否

发表时间：2017-08-15

合写作者：何欢,陈国平

通讯作者：陈哲