The Convergence of Harmonic Ritz Vectors and Harmonic Ritz Values, Revisited

2017 ◽  
Vol 38 (1) ◽  
pp. 118-133 ◽  
Author(s):  
Gang Wu
Author(s):  
David C. Zimmerman ◽  
Timothy T. Cao

Abstract Ritz vectors offer many advantages over the traditional mode shapes in the areas of model reduction and structural dynamic simulation. Building upon the recent development of an experimental method to extract Ritz vectors from measured dynamic response data, these vectors were also demonstrated to offer great potential in the areas of finite element model correlation and structural damage detection. In this paper, a Monte Carlo simulation is performed to study the accuracy and stability of Ritz vectors extracted from this new procedure using noise corrupted response data. The statistical variation of Ritz parameters and modal parameters extracted from the same data is made to assess the sensitivity of Ritz vector extraction to measured noise.


Author(s):  
Henry T. Wu ◽  
Neel K. Mani

Abstract Vibration normal modes and static correction modes have been previously used to model flexible bodies for dynamic analysis of mechanical systems. The efficiency and accuracy of using these modes to model a system depends on both the flexibility of each body and the applied loads. This paper develops a generalized method for the generation of a set of Ritz vectors to model flexible bodies for dynamic analysis of multi-body mechanical systems. The Ritz vectors are generated using the distribution of dynamic loading on a flexible body. Therefore they form the most efficient vector basis for the spatial distribution of the loadings. The Ritz vectors can be re-generated when the system undergoes significant changes of its configuration and the regeneration procedure is inexpensive. The combinations of vibration normal modes and the proposed Ritz vectors thus form more efficient and accurate vector bases for the modeling of flexible bodies for dynamic analysis.


2020 ◽  
Vol 41 (2) ◽  
pp. 554-572
Author(s):  
Pedro G. Massey ◽  
Demetrio Stojanoff ◽  
Sebastian Zarate
Keyword(s):  

1992 ◽  
Vol 21 (3) ◽  
pp. 215-231 ◽  
Author(s):  
Hong Xia ◽  
J. L. Humar

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