Low-cost simulation using model order reduction in structural health monitoring: Application of balanced proper orthogonal decomposition

2017 ◽  
Vol 24 (11) ◽  
pp. e1994 ◽  
Author(s):  
N. Sepehry ◽  
M. Shamshirsaz ◽  
F. Bakhtiari Nejad
Keyword(s):  
Health Monitoring ◽  
Model Order Reduction ◽  
Low Cost ◽  
Order Reduction ◽  
Orthogonal Decomposition ◽  
Model Order ◽  
Cost Simulation ◽  
Balanced Proper Orthogonal Decomposition ◽  
Proper Orthogonal ◽  
Monitoring Application

Recent Advances in Computational Methods for Microsystems

2013 ◽  
Vol 745 ◽  
pp. 13-25 ◽  
Author(s):  
Alberto Corigliano ◽  
Martino Dossi ◽  
Stefano Mariani
Keyword(s):  
Model Order Reduction ◽  
Computing Time ◽  
Order Reduction ◽  
Orthogonal Decomposition ◽  
Coupled Problems ◽  
Strong Reduction ◽  
Model Order ◽  
Solution Strategies ◽  
Reduction Methods ◽  
Proper Orthogonal

An algorithm, which combines the use of Domain Decomposition and Model Order Reduction methods based on Proper Orthogonal Decomposition, is proposed. The algorithm allows for the efficient handling of electro-mechanical coupled problems in MEMS, with a strong reduction of computing time with respect to standard monolithic or staggered solution strategies. Examples of coupled electro-mechanical problems, concerning a vibrating beam subject to variable electrostatic forces, are presented and discussed.

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