MATEC Web Conf.
Volume 148, 2018International Conference on Engineering Vibration (ICoEV 2017)
|Number of page(s)||8|
|Section||Vibration of Solids and Structures under Moving Loads: Modelling and Analysis|
|Published online||02 February 2018|
The shaker parameters estimation, a first step to virtual testing
Royal Military Academy, 30 Av. de la Renaissance, 1000 Bruxelles, Belgique
* Corresponding author: firstname.lastname@example.org
The increase in computing resources makes simulation methods more affordable. The processing speed allows real time analysis or even more rapid tests analysis offering a real tool for test prediction and design process optimization. Vibration tests are no exception to this trend.
The so called 'Virtual Vibration Testing' offers solution among others to study the influence of specific loads such as optimized signals, to better anticipate the boundary conditions between the exciter and the structure under test or to study the influence of small changes in the structure under test.
This article will first present a virtual vibration test modeling with a main focus on the shaker model and will afterwards present the experimental parameters determination.
The classical way of modeling a shaker is to consider the shaker as a simple mechanical structure augmented by an electrical circuit that makes the shaker move. The developed model is a two degrees of freedom mechanical lumped parameters model and the electrical circuit model takes the coil impedance and the dynamic back-electromagnetic force into account. The establishment of the equations of this model, describing the dynamics of the shaker, is presented in this article and is strongly related to the internal physical quantities of the shaker. Those quantities will be reduced into global parameters which will be estimated through experiments in order to get a fully functional shaker model.
An experimental modal analysis will also be carried out to extract the modal parameters of the shaker and to combine them with the electrical measurements.
Finally this article will conclude with an experimental validation of the model.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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