Output details
15 - General Engineering
University of Southampton
Article title
Multi-element stochastic reduced basis methods
Type
D - Journal article
Title of journal
Computer Methods in Applied Mechanics and Engineering
Article number
-
Volume number
197
Issue number
17-18
First page of article
1495
ISSN of journal
0045-7825
Year of publication
2008
Number of additional authors
2
Additional information
Significance of output:
A key step forward in dealing with the efficient propagation of uncertainties through engineering analyses. The aeroengine sector increasingly has to quantify the impact of manufacturing and operational variations on key components and the computational expense of using Monte Carlo schemes is mitigated by stochastic reduced basis schemes. Part of work directly funded by Rolls-Royce via their University Technology Centre over a 15 year period. Has lead to the improvement of robust design methods deployed within the company. Contact Dr Steven Wellborn, Head of Design Systems Engineering, Steven.Wellborn@Rolls-Royce.com
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
