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A domain adaptive stochastic collocation approach for analysis of MEMS under uncertainties
 

Summary: A domain adaptive stochastic collocation approach for analysis
of MEMS under uncertainties
Nitin Agarwal, N.R. Aluru *
Department of Mechanical Science and Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois
at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, United States
a r t i c l e i n f o
Article history:
Received 3 July 2008
Received in revised form 29 April 2009
Accepted 14 July 2009
Available online 26 July 2009
Keywords:
Multiphysics
Stochastic collocation
Stochastic Galerkin method
Sparse grids
Adaptive sampling
Reliability
Geometrical uncertainty
Uncertainty propagation

  

Source: Aluru, Narayana R. - Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign

 

Collections: Engineering; Materials Science