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| Model updating of frequency response function based on radial basis function |
| Received:September 03, 2019 Revised:December 20, 2019 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20190903003 |
| KeyWord:model updating frequency response function radial basis function(RBF) modal kinetic energy coefficient of variance of mode participation criterion |
| Author | Institution |
| 殷红 |
兰州交通大学 机电工程学院, 兰州 |
| 崔攀 |
兰州交通大学 机电工程学院, 兰州 |
| 彭珍瑞 |
兰州交通大学 机电工程学院, 兰州 |
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| Abstract: |
| In order to solve the problem of time cost and accuracy of finite element model updating by using frequency response function,the incentive point and measurement point are optimized by coefficient of variance of mode participation criterion and modal kinetic energy method,respectively,so that the modal information is more complete.Then introducing radial basis function(RBF)model to reduce the calculation times of the original finite element model,and the parameter(spread)of the surrogate model can be optimized according to the root mean square error criterion to improve the prediction accuracy of the model.Finally,a 36-degree-of-freedom two-dimensional truss model is selected for feasibility verification.By comparing with the updating accuracy and iteration time of the finite element method,Kriging model and the second-order response surface model,the results show that the proposed method has advantageous. |
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