Abstract
When studying a mechanical structure, evaluation of its frequency response function (FRF) over a given frequency range is one of the main interests. Computational cost aside, evaluating FRFs presents no methodological difficulty in the deterministic case. Doing this when the model includes some uncertain parameters may however be more difficult as multimodality and discontinuity can arise around resonances. Indeed, even for a single degree of freedom system, it can be shown that usual methods of the probabilistic frame such as generalized Polynomial Chaos may fail to properly describe the probability density function of the response amplitude. This study proposes another approach which involves a shift in the usual quantities used to draw FRFs. Instead of computing the stochastic response for a given excitation frequency, this work adopts a constant response phase point of view. For each phase value of the oscillator response, the uncertainty over some parameters is propagated to the corresponding uncertain amplitudes and excitation frequencies. This provides much smoother variations of the involved quantities which are much easier to describe using a simple Polynomial Chaos approach. Both analytical and numerical results will be exposed for a single degree of freedom oscillator whose stiffness follows a uniform law.
Highlights
When studying a mechanical structure, evaluation of its frequency response function (FRF) over a given frequency range is one of the main interests
Computational cost aside, evaluating FRFs presents no methodological difficulty in the deterministic case
Heinkele et al [3] wrote the explicit formula for the probability density fonction of the FRF of a single degree of freedom oscillator with random damping, either viscous or hysteretic
Summary
When studying a mechanical structure, evaluation of its frequency response function (FRF) over a given frequency range is one of the main interests. Recent work by the authors [16] showed that for a single degree of freedom system, generalized Polynomial Chaos may fail to properly describe the probability density function of the response amplitude. More complex methods such as Multi-Element generalized Polynomial Chaos must be used to address this problem, increasing the computational cost in return. This study proposes another approach to handle the frequency study of stochastic linear systems.
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