Updating dataset of measurements for the experimental CEA-beam benchmark structure subjected to one stochastic broadband excitation with dataset of measurements for the CEA-beam system subjected to two correlated or uncorrelated broadband random excitations

更新实验性 CEA 光束基准结构在一次随机宽带激励下的测量数据集,使其与 CEA 光束系统在两次相关或不相关的宽带随机激励下的测量数据集相匹配。

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Abstract

This data article comprises data to investigate the non-linear dynamic behavior of the beam benchmark structure that is a clamped-clamped steel beam with non-ideal boundary conditions subjected to two broadband correlated or uncorrelated random excitations. Experiments have been performed on the CEA-CESTA laboratory. The data provided include output measurements for the nonlinear dynamic behavior of the CEA-beam (i.e., the accelerations amplitudes for the three accelerometers on the beam), as well as the two input forces amplitudes. In comparison with the data provided in [4] which only considers the case of a single exitation, experimental results are extended for the CEA-beam system subjected to two correlated or uncorrelated broadband random excitations. All the results from this data will help researchers and engineers in proper analysis of the nonlinearities of the clamped-clamped beam and the effects of the correlation between two broadband correlated or uncorelated random excitations on the nonlinear signature of this academic structure. One of the main original contributions is to share the data sets to give the opportunity to researchers for testing and validating analytical or numerical models of a nonlinear beam with non-ideal boundary conditions and subjected to multipoint correlated or uncorrelated random excitations. This Data in Brief article is an additional item directly alongside the following paper published in the Elsevier journal: S. Talik, J-J. Sinou, M. Claeys and J-P. Lambelin, Nonlinear vibrations of a beam subjected to two broadband correlated or uncorrelated broadband random excitations - experiments, modeling and simulations, Communications in Nonlinear Science and Numerical Simulation, 106328, 2022.

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