MEMS stochastic model order reduction method based on polynomial chaos expansion

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• 作者：Youping Gong ; Xiangjuan Bian ; Chen Guojin ; Lv Yunpeng…
• 刊名：Microsystem Technologies
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：22
• 期：5
• 页码：993-1003
• 全文大小：1,737 KB
• 刊物类别：Engineering
• 刊物主题：Electronics, Microelectronics and Instrumentation
  Nanotechnology
  Mechanical Engineering
  Operating Procedures and Materials Treatment
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1858
• 卷排序：22

文摘

Modeling and simulation of MEMS devices is a very complex task which involve the electrical, mechanical, fluidic and thermal domains, and there are still some uncertainties need to be accounted because of uncertain material and/or geometric parameters factors. According to these problems, we put forward to stochastic model order reduction method under random input conditions to facilitate fast time and frequency domain analyses, the method firstly process model order reduction by Structure Preserving Reduced-order Interconnect Macro Modeling method, then makes use of polynomial chaos expansions in terms of the random input and output variables for the matrices of a finite element model of the system; at last we give the expected values and standard deviations computing method to MEMS stochastic model. The simulation results verify the method is effective in large scale MEMS design process.