Model updating in structural dynamics

Some researcher also gave the comparison [17, 18] and recommendation [19] of the main metamodels.

Model updating in structural dynamics play sim dating games for girls online for

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.

But the traditional sensitivity-based optimization methods have at least two disadvantages: first, the requirement of sensitivity analysis may be computation expensive or even, the sensitivity results may not be readily obtained and; second, when numerous iterations are required for convergence of the optimization algorithm, especially to modern intelligent algorithms that huge computational cost may be needed.

Since the time-consuming finite element analysis codes will be run at least once per iteration, this will be a challenge for structural dynamic model updating.

In this article, the FRF based model updating is studied based on Kriging model, which is constructed based on the DOE results of input-output of structural dynamics, whose output response is based on acceleration FRF (AFRF) data.

Two examples of composite structure are discussed, the model updating results with less error are obtained based on Kriging model, the effectiveness of the proposed approach is demonstrated. When creating finite element model (FEM), some parameters usually have deviations from those of the experimental model, and the deviations are considered as modeling errors, which result in errors of mass, damping or stiffness of the FEM, as a consequence, AFRF differences between FEM and experimental model arise from the deviations.Hemez and Brown [5] introduced the FRF based model updating method, its advantages and limitations in engineering application were also described. In addition, many studies on damage/parameter identification and health monitoring of structures are based on the FRF model updating [8-11].The model updating process is usually formulated as minimizing the differences between the experimental model and the finite element model (analytical model), so it is essentially an optimization problem.A constant term is used to instead the polynomial term in following discussion.When the Kriging model is obtained, the unbiased estimation of According to the previous two sections, Kriging model is introduced to the AFRF based model updating process, where the FEA is replaced by the Kriging model during the optimization process.Once the metamodel is constructed and validated, it can be used to replace the exact finite element analysis (FEA) to perform model updating.

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