About this book
Structural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained.
The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering:
• SHM of beams;
• SHM of composite tubes; and
• SHM of helicopter rotor blades.
Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structural components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems.
- Book Title Structural Health Monitoring Using Genetic Fuzzy Systems
- DOI https://doi.org/10.1007/978-0-85729-907-9
- Copyright Information Springer-Verlag London Limited 2011
- Publisher Name Springer, London
- eBook Packages Engineering Engineering (R0)
- Hardcover ISBN 978-0-85729-906-2
- Softcover ISBN 978-1-4471-5968-1
- eBook ISBN 978-0-85729-907-9
- Edition Number 1
- Number of Pages VIII, 132
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
Signal, Image and Speech Processing
Aerospace Technology and Astronautics
Building Repair and Maintenance
Mathematical and Computational Engineering
- Buy this book on publisher's site