Structural health monitoring based on artificial intelligence techniques

Publikationstyp
Conference Paper
Date Issued
2007-07
Sprache
English
Author(s)
Smarsly, Kay  
Lehner, Karlheinz  
Hartmann, Dietrich  
TORE-URI
http://hdl.handle.net/11420/14235
Start Page
111
End Page
118
Citation
Congress on Computing in Civil Engineering, Proceedings: 111-118 (2007-12-01)
Contribution to Conference
ASCE International Workshop on Computing in Civil Engineering, 2007  
Publisher DOI
10.1061/40937(261)14
Scopus ID
2-s2.0-84891314061
Publisher
American Society of Civil Engineers
ISBN of container
978-0-7844-7203-3
978-0-7844-0937-4
Artificial Intelligence (AI) has a long history in computer science and is now being applied to engineering problems in Structural Health Monitoring (SHM) that would be difficult to solve by standard numerical techniques alone. In particular, the methods of Conventional Artificial Intelligence (CAI) and Computational Intelligence (CI), coupled with agent technology, show great promise in delivering monitoring systems that are robust, redundant, environmentally aware, economically sound as well as user friendly and highly adaptive. In this paper, background concepts of AI and an example of a SHM system for monitoring civil engineering structures are presented to clearly demonstrate the potential of intelligent software applications in the field of SHM.
DDC Class
004: Informatik
690: Hausbau, Bauhandwerk