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Apr 26, 2012

Structural Health Monitoring based on Artificial Intelligence Techniques

Publication: Computing in Civil Engineering (2007)

Abstract

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.

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Go to Computing in Civil Engineering (2007)
Computing in Civil Engineering (2007)
Pages: 111 - 118

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Published online: Apr 26, 2012

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Kay Smarsly [email protected]
Institute for Computational Engineering (ICE), Ruhr-University Bochum, Universitaetsstr. 150, D-44780 Bochum, Germany. E-mail: [email protected]
Karlheinz Lehner
Institute for Computational Engineering (ICE), Ruhr-University Bochum, Universitaetsstr. 150, D-44780 Bochum, Germany
Dietrich Hartmann
Institute for Computational Engineering (ICE), Ruhr-University Bochum, Universitaetsstr. 150, D-44780 Bochum, Germany

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