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Pawar P.M., Ganguli R. Structural Health Monitoring Using Genetic Fuzzy Systems

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Pawar P.M., Ganguli R. Structural Health Monitoring Using Genetic Fuzzy Systems
Springer, 2011. — 135 p. - ISBN 978-0-85729-906-2.
Structural health monitoring (SHM) has emerged as an important research area in recent years because of its strong links with structural safety and the need to monitor and extend the lives of existing structures. SHM is an interdisciplinary field, combining elements of mechanics with those of information science and sensors and actuators. The practical importance of SHM is clear from the continuing failures which affect engineering structures such as bridges, aircraft, helicopters, and nuclear reactors. In many cases, a health monitoring system installed on the structure can detect and isolate the damage before it becomes catastrophic, thereby reducing the likelihood of failures. SHM systems can therefore reduce costs and save lives.
Introduction
Genetic Fuzzy System
Structural Health Monitoring of Beams
Structural Health Monitoring of Composite Tubes
Structural Health Monitoring of Composite Helicopter Rotor
Appendix MatLAB Codes
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