• DocumentCode
    2113630
  • Title

    Efficient Pre-stressed Harmonic Analysis of RF-Microresonators by Means of Model Order Reduction

  • Author

    Del Tin, L. ; Gaddi, R. ; Gnudi, A. ; Rudnyi, E. ; Greiner, A. ; Korvink, J.G.

  • Author_Institution
    ARCES-DEIS, Bologna Univ.
  • fYear
    2006
  • fDate
    24-26 April 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A simulation methodology to reduce computational time of pre-stressed harmonic analysis of radio frequency (RF) microresonators is demonstrated. The methodology is based on the application of model order reduction to a system of ordinary differential equations obtained after spatial discretization by finite element software. Model order reduction produces a low dimensional approximation of the original system and hence enables a substantial reduction of simulation time while maintaining a very small approximation error. The approach allows performing rapid device design and optimization. Once the device design and working conditions have been defined its reduced model can also be used to implement a behavioural model that can be employed in system level simulations
  • Keywords
    differential equations; finite element analysis; harmonic analysis; micromechanical resonators; reduced order systems; RF microresonators; behavioural model; differential equations; finite element software; harmonic analysis; model order reduction; system level simulations; Analytical models; Application software; Approximation error; Computational modeling; Design optimization; Differential equations; Finite element methods; Harmonic analysis; Microcavities; Radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro-Electronics and Micro-Systems, 2006. EuroSime 2006. 7th International Conference on
  • Conference_Location
    Como
  • Print_ISBN
    1-4244-0275-1
  • Type

    conf

  • DOI
    10.1109/ESIME.2006.1643943
  • Filename
    1643943