Journal article 1004 views
A reduced spectral function approach for the stochastic finite element analysis
Sondipon Adhikari
Computer Methods in Applied Mechanics and Engineering, Volume: 200, Issue: 21-22, Pages: 1804 - 1821
Swansea University Author: Sondipon Adhikari
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DOI (Published version): 10.1016/j.cma.2011.01.015
Abstract
A reduced spectral function approach for the stochastic finite element analysis
| Published in: | Computer Methods in Applied Mechanics and Engineering |
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| ISSN: | 0045-7825 |
| Published: |
2011
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa6283 |
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| Item Description: |
Quantification of uncertainty in computational prediction is necessary for decision-making. Conventional approach generally builds a response surface by sampling the parameter-space of a problem. This is purely a numerical approach. Funded by Wolfson Research Merit Award, this wok proposes a physics-based approach where eigenmodes of the stochastic operators are used. A significant reduction in computational effort and increased accuracy is demonstrated in the paper. Since this publication, the idea has been extended to dynamic problems and it forms the basis of funding from Embraer Aircraft Corporation [pedro.cabral@embraer.com.br] where this technique is used for uncertainty quantification of composite wing models. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
21-22 |
| Start Page: |
1804 |
| End Page: |
1821 |