A quasi-static non-linear modal analysis procedure extending Rayleigh quotient stationarity for non-conservative dynamical systems
A quasi-static non-linear modal analysis procedure extending Rayleigh quotient stationarity for non-conservative dynamical systems
复制标题
一种准静态非线性模态分析程序,扩展了非保守动力系统的瑞利商平稳性
DOI:
10.1016/j.compstruc.2019.106184
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发表时间:
2020
影响因子:
4.7
通讯作者:
Brake, Matthew R.W.
中科院分区:
文献类型:
--
作者:
Balaji, Nidish Narayanaa;Brake, Matthew R.W.
Non-linear Modal Analysis (NMA) refers to a class of analysis procedures that seek to characterize non-linear dynamical systems similar to how classical linear modal analysis characterizes the natural frequencies and mode shapes of linear systems. The current study proposes an extension to the stationarity of Rayleigh quotients, a classical technique for linear modal analysis, for non-linear, non-conservative, dynamical systems. The approach, termedRayleigh Quotient-based Nonlinear Modal Analysis(RQNMA), formalizes each mode as a finite non-trivial perturbation about a static solution that is locally stationary in the work done. Apart from offering a theoretical basis for the concept of non-linear modes, this circumvents several limitations in previous methods (for example,Quasi-Static Modal Analysis(QSMA)), such as inconsistencies in handling static forces, assumptions on mode-shape change, etc. As with other NMA procedures, RQNMA is formulated for the characterization of the amplitude-dependent natural frequency (stiffness) and damping ratio (dissipation) near/at the resonances. The estimated stiffness and dissipation characteristics are compared with modal backbones generated from frequency-domain approaches, which typically are computationally more expensive than the presented approach. Comparisons are conducted using different benchmark models, placing special emphasis on structures with pre-stressed frictional contacts, in order to bring out the strengths and shortcomings of the presented approach to contextualize its applicability.
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影响因子:
8.4
作者:
M. Brake;C. Schwingshackl;P. Reuss
通讯作者:
P. Reuss
DOI:
--
发表时间:
2016
期刊:
Proceedings of the Royal Society A
影响因子:
--
作者:
R. Szalai;David A. Ehrhardt;G. Haller
通讯作者:
G. Haller
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
L. Renson;G. Deliége;G. Kerschen
通讯作者:
G. Kerschen
影响因子:
8.4
作者:
N. N. Balaji-N.;M. Brake
通讯作者:
N. N. Balaji-N.;M. Brake
DOI:
--
发表时间:
2019
期刊:
Nonlinear Structures and Systems, Volume 1
影响因子:
--
作者:
Tobias Dreher;N. N. Balaji;J. Gross;M. Brake;M. Krack
通讯作者:
M. Krack