Model updating in structural dynamics

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A constant term is used to instead the polynomial term in following discussion.

model updating in structural dynamics-77

In AFRF based model updating, AFRF curves (both FEM and experimental model) at certain DOFs are observed and given as inconsistent curves, which are taken as updating objectives.Corresponding author Journal of Vibroengineering, Vol. In this paper, an attempt is made to explore the effectiveness of Kriging method for acceleration frequency response function based model updating. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Metamodel technique is attracting more and more attention in structural dynamic model updating.In recent years, mainly two model updating methods of structural dynamics are studied: the modal parameters based method [1] and the frequency response function (FRF) based method [2].The modal parameter based method has been widely applied in many practical applications, however, fewer studies focus on the FRF based method.The FRF based method has at least four advantages over the modal parameter based method:1) It can take advantage of the measured vibration data directly without data transformation, which may introduce algorithm or numerical errors; 2) It avoids modal analysis, and is suitable for the structure with dense mode; 3) FRF can provide more data that each response curve can be used as an objective function for model updating [3]; 4) In some cases, the error of modal identification might be greater than the error of structure modeling [4], which is the main error of model updating.

The FRF based model updating is worth to be thoroughly studied, thereby FRF based method is gaining more and more attention. [7] performed their proposed model updating method on the UCF Benchmark structure and GARTEUR truss structure by using FRF data respectively, and the FRF curves of experimental and updated model tended to coincidence.The response of design of experiment is obtained based on the errors between acceleration response curves of analytical model and experimental model.Two examples of representative structure are discussed, the comparison of updated results of different metamodel shows that a less error of updated results can be obtained based on Kriging model, and the updated analytical model has a good prediction capability. https://doi.org/10.21595/jve.2016.16973 Received 12 March 2016; received in revised form 1 September 2016; accepted 9 September 2016; published 30 September 2016 Copyright © 2016 JVE International Ltd.A Kriging model is constructed based on the input variables selected by F-test method specially, which is applied to the results of design of experiment.Generally, analytical model has many parameters, and some of them should be selected as initial input variables, which are taken as the DOE factors.