Abstract

It is well known that nonlinear systems, as well as linear time-varying systems, are characterized by non-stationary response signals. In this sense, they both show natural frequencies that are not constant over time; this variation has however different origins: for a time-varying system the mass, and possibly the stiffness distributions, are changing over time, while for a nonlinear system the natural frequencies are amplitude-dependent. An interesting case of time-varying system occurs when analyzing the transit of a train over a railway bridge, easily simulated by the crossing of a moving load over a beam. In this case, the presence of a nonlinearity in the beam behaviour can cause a significant alteration of the modal parameters extracted from the linearized model, such that the contributions of the two effects are no more distinguishable.For this study, some reinforced concrete beams have been tested in the framework of a vast project: these beams show a clear softening nonlinear behaviour, well detectable when the excitation is produced by a hammer (free response). If the passage of a carriage is considered, moreover, the variation of natural frequencies is always larger than expected because of this softening nonlinearity.The article first analyzes theoretically the two effects on the natural frequencies of a simply supported beam, then a numerical and an experimental tests are presented. The identification procedure is conducted with a linear algorithm called ST-SSI, which has been demonstrated to be appropriate for the analysis of non-stationary signals, in particular in presence of moving masses. The article shows that the nonlinear contribution can be well estimated by using this linear tool but, on the contrary, when also moving masses are present, it is difficult to separate the nonlinear effects from the time varying ones.

Highlights

  • During the last years, many efforts have been spent in studying both nonlinear and linear time-varying systems, but the two issues have been always analyzed independently

  • Nonlinear systems are identified with specific tools in the case of random excitations, as in [3,4]

  • Time-varying systems are usually analyzed with parametric methods [5] or techniques extended from the linear time-invariant case, such as the “frozen technique” [6]

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Summary

Introduction

Many efforts have been spent in studying both nonlinear and linear time-varying systems, but the two issues have been always analyzed independently. Time-varying systems are usually analyzed with parametric methods [5] or techniques extended from the linear time-invariant case, such as the “frozen technique” [6] For the former ones, the typical case studied is the Duffing oscillator [7], but it is impossible to find a theoretical relationship linking the natural frequency, the signal amplitude and the nonlinearity when the polynomial order defining. The idea behind this article is to connect the usual approaches applied for the time-varying systems (in particular the method called ST-SSI [6]), with a method for the estimation of the nonlinear frequency in a generic system This procedure allows obtaining the nonlinearity if a free decay response is analyzed. The results show that the method is able to well estimate the nonlinear effect and to quantify the diminution of the frequency values due to the nonlinearity; the results are verified and tested both for the numerical and for the experimental example

The method for the nonlinearity estimation
Mathematical background
Time-varying frequencies
Extraction of the nonlinear stiffness contributions
Model of a simply supported beam travelled by a moving load
A numerical example
Pescara beams
Beam characteristics
Results of the method
Conclusions
Full Text
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