Comparison of Stimuli for Nonlinear System Response
Classification 10-04-03-0014
This also appears in
SAE International Journal of Vehicle Dynamics, Stability, and NVH-V129-10EJ
As part of the development of an automated virtual design classification approach
for nonlinear structural dynamics, alternative excitation functions are
evaluated with respect to their overall performance and efficiency in
feature-based response analysis. Robust design of nonlinear structures requires
analysis of extensive parameter variations. Both the character of the stimulus
and feature metrics used are central to the performance of a response
classification approach. The main purpose of this study is to compare stimulus
candidates with respect to their efficiency in response classification. A
deterministic multilevel, multifrequency stepped-sine periodic test function is
used as a baseline. Order-wise differences between generalized and linearized
system frequency response functions are evaluated by a selected feature metric
to allow categorization into primary, sub and super harmonic responses, as well
as odd and even order response distortions. An alternative excitation function
type is the pseudorandom phase multi-sine. Its robust variant estimates the best
linear approximation of the generalized frequency response function and related
nonlinear and noise variances, which can be used for response classification.
The fast variant of this method further detects and classifies occurring even
and odd order nonlinear responses using a hypothesis test. This article
describes the application of these three methods to a virtually running
two-piece rotor shaft model. Time response signals from simulated test parameter
variations are used to calculate selected nonlinear feature metric values. The
total simulation and measurement time, as well as the predictive performance in
a few typical nonlinear response cases are evaluated.
Citation: Andersson, N. and Abrahamsson, T., "Comparison of Stimuli for Nonlinear System Response Classification," SAE Int. J. Veh. Dyn., Stab., and NVH 4(3):197-219, 2020, https://doi.org/10.4271/10-04-03-0014. Download Citation
Author(s):
Niclas Andersson, Thomas Abrahamsson
Pages: 24
ISSN:
2380-2162
e-ISSN:
2380-2170
Related Topics:
Propellers and rotors
Research and development
Simulation and modeling
Noise
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