Imperial College London
Alternate

DrChristophSchwingshackl

Faculty of Engineering, Department of Mechanical Engineering

Reader in Mechanical Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1920c.schwingshackl Website

 
 
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Location

 

559City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Panunzio:2017:10.1016/j.jsv.2016.09.020,
author = {Panunzio, AM and Salles, L and Schwingshackl, CW},
doi = {10.1016/j.jsv.2016.09.020},
journal = {Journal of Sound and Vibration},
pages = {309--325},
title = {Uncertainty propagation for nonlinear vibrations: a non-intrusive approach},
url = {http://dx.doi.org/10.1016/j.jsv.2016.09.020},
volume = {389},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The propagation of uncertain input parameters in a linear dynamic analysis is reasonably well established today, but with the focus of the dynamic analysis shifting towards nonlinear systems, new approaches is required to compute the uncertain nonlinear responses.A combination of stochastic methods (Polynomial Chaos Expansion, PCE) with an Asymptotic Numerical Method (ANM) for the solution of the nonlinear dynamic systems is presented to predict the propagation of random input uncertainties and assess their influence on the nonlinear vibrational behaviour of a system. The proposed method allows the computation of stochastic resonance frequencies and peak amplitudes based on multiple input uncertainties, leading to a series of uncertain nonlinear dynamic responses. One of the main challenges when using the PCE is thereby the Gibbs phenomenon, which can heavily impact the resulting stochastic nonlinear response by introducing spurious oscillations. A novel technique to avoid the Gibbs phenomenon is be presented in this paper, leading to high quality frequency response predictions.A comparison of the proposed stochastic nonlinear analysis technique to traditional Monte Carlo simulations, demonstrates comparable accuracy at a significantly reduced computational cost, thereby validating the proposed approach.
AU  - Panunzio,AM
AU  - Salles,L
AU  - Schwingshackl,CW
DO  - 10.1016/j.jsv.2016.09.020
EP  - 325
PY  - 2017///
SN  - 0022-460X
SP  - 309
TI  - Uncertainty propagation for nonlinear vibrations: a non-intrusive approach
T2  - Journal of Sound and Vibration
UR  - http://dx.doi.org/10.1016/j.jsv.2016.09.020
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000390623100020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S0022460X16304862
VL  - 389
ER  -
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