Output details
15 - General Engineering
University of Exeter
Return to search
Output 0 of 0 in the submission
Article title
Improving System Identification Using Clustering
Type
D - Journal article
Title of journal
Journal of Computing in Civil Engineering
Article number
-
Volume number
22
Issue number
5
First page of article
292
ISSN of journal
1943-5487
Year of publication
2008
URL
-
Number of additional authors
3
Additional information
This paper describes a novel data mining technique to support decision-making for high value civil infrastructure, e.g. long-term bridge management. The approach combined advanced computing methods (clustering) with traditional behaviour models (finite elements) for solving the inverse engineering problem of structural system identification. It received the best paper award from ASCE's journal of computing in civil engineering (http://www.asce.org/PPLContent.aspx?id=2147484505).
Interdisciplinary
-
Cross-referral requested
-
Research group
5 - The Structures and Dynamics group
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
