Nano Science and Technology InstituteNano Science and Technology Institute
Nano Science and Technology Institute 2005 NSTI Nanotechnology Conference & Trade Show
Nanotech 2005
Bio Nano 2005
Business & Investment
Nano Impact Workshop
Program
Sessions
Sunday
Monday
Tuesday
Wednesday
Thursday
Index of Authors
Index of Keywords
Keynote Presentations
Confirmed Speakers
Participating Companies
Industry Focus Sessions
Nanotech Expo
Special Symposia
Conferences
Sponsors
Exhibitors
Venue 2005
Organization
Press Room
Subscribe
Site Map
 
Nanotech 2005 At A Glance
Nanotech Proceedings
Nanotechnology Proceedings
Global Partner
nano tech
Supporting Organizations
Nanotech 2005 Supporting Organization
Media Sponsors
Nanotech 2005 Medias Sponsors
Event Contact
696 San Ramon Valley Blvd., Ste. 423
Danville, CA 94526
Ph: (925) 353-5004
Fx: (925) 886-8461
E-mail:
 
 

Symbolic Finite Element Analysis for Parametric Studies

R.W. Johnstone, T. Shimizu and M. Parameswaran
Simon Fraser University, CA

Keywords:
finite element analysis, symbolic computational software, parametric analysis

Abstract:
In our paper, we will present a method of performing finite element analysis using a symbolic kernel. The representation of numbers used in analysis is symbolic expressions instead of floating point numbers. Unlike standard finite element analysis, the end product of symbolic finite element analysis is an equation [5]. We have developed a number of methods of measuring and limiting symbolic growth. We can thus use finite element methods to determine equations capable of predicting system parameters based on the design parameters. This allows us to perform symbolic FEA are much larger systems. Although the symbolic FEA does require more computational effort, the results of symbolic FEA are also considerably more useful. With the results in hand, design parameters can be changed and the results of the analysis computed with minimal effort. This situation contrasts sharply with traditional FEA methods, which requires the entire analysis to done. Such equations have many uses. In particular, they could speed multiple evaluations of similar models. This would aid many important in many types of analysis, such as probabilistic design studies (PDS), design optimization problems, and reduced order modelling (ROM).

Back to Program

Sessions Sunday Monday Tuesday Wednesday Thursday Authors

Nanotech 2005 Conference Program Abstract

 
Gold Sponsors
Nanotech Gold Sponsors
Silver Sponsors
Nanotech Silver Sponsors
Gold Key Sponsors
Nanotech Gold Key Sponsors
Nanotech Ventures Sponsors
Nanotech Ventures Sponsors
Sponsors
Nanotech Sponsors
News Headlines
NSTI Online Community
 
 

© Nano Science and Technology Institute, all rights reserved.
Terms of use | Privacy policy | Contact