Model updating in structural dynamics Zambia sex hot chat room

Some researcher also gave the comparison [17, 18] and recommendation [19] of the main metamodels.However, it is hard to find any studies which focused on their applications in structural dynamic model updating based on FRF.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.Model updating aims primarily to reduce the FEM error from the experimental model by modifying some parameters of the FEM.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.

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. 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.The recently developed metamodel techniques bridge the gap between the intelligent algorithm and practical applications.They use an approximate model to approximate the relationship between the input and output of a black-box system, other information of the system is not required, so the existing commercial and in-house finite element analysis codes can be integrated directly, and additionally it is suitable for parallel computing.

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It can be concluded that the Kriging model is suitable for the frequency response function based model updating.

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