Output details
15 - General Engineering
University of Southampton
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Output 0 of 0 in the submission
Article title
Multifidelity surrogate modeling of experimental and computational aerodynamic data sets
Type
D - Journal article
Title of journal
AIAA Journal
Article number
-
Volume number
49
Issue number
2
First page of article
289
ISSN of journal
0001-1452
Year of publication
2011
Number of additional authors
3
Additional information
Significance of output:
This paper presents a novel study that shows how computational and physical experiments can complement each other as part of a homogenous design process. Using this methodology, what are often thought of as competing areas (computational and experimental) actually become mutually beneficial.
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
-