Model updating in structural dynamics dating male and female czech

16-Dec-2020 13:18

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. Received 12 March 2016; received in revised form 1 September 2016; accepted 9 September 2016; published 30 September 2016 Copyright © 2016 JVE International Ltd.

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Accordingly, after model updating, the frequency response curves of FEM tend to coincide with the experimental curves in the selected observation DOFs.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.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.As one of the main metamodels, Kriging model is usually more accurate than traditional RSM. [20] investigated the interval model updating based on Kriging method, and presented its good accuracy through an example of a beam positions. [21] carried out stochastic model updating of the DLR AIRMOD structure by two methods based on Kriging model. [22] updated the structural model of an arch bridge by using a two-level method based on Kriging model.