A New MEMS Stochastic Model Order Reduction Method: Research and Application
Joint Authors
Chen, Guojin
Xiangjuan, Bian
Gong, Youping
Yunpeng, Lv
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Modeling and simulation of MEMS devices is a very complex tasks which involve the electrical, mechanical, fluidic, and thermal domains, and there are still some uncertainties that need to be accounted for during the robust design of MEMS actuators caused by uncertain material and/or geometric parameters.
According to these problems, we put forward stochastic model order reduction method under random input conditions to facilitate fast time and frequency domain analyses; the method makes use of polynomial chaos expansions in terms of the random input variables for the matrices of a finite element model of the system and then uses its transformation matrix to reduce the model; the method is independent of the MOR algorithm, so it is seamlessly compatible with MOR method used in popular finite element solvers.
The simulation results verify the method is effective in large scale MEMS design process.
American Psychological Association (APA)
Xiangjuan, Bian& Gong, Youping& Chen, Guojin& Yunpeng, Lv. 2015. A New MEMS Stochastic Model Order Reduction Method: Research and Application. Journal of Sensors،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070062
Modern Language Association (MLA)
Xiangjuan, Bian…[et al.]. A New MEMS Stochastic Model Order Reduction Method: Research and Application. Journal of Sensors No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1070062
American Medical Association (AMA)
Xiangjuan, Bian& Gong, Youping& Chen, Guojin& Yunpeng, Lv. A New MEMS Stochastic Model Order Reduction Method: Research and Application. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070062