Structural Health Monitoring Using Genetic Fuzzy Systems

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 in...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Pawar, Prashant M. (Συγγραφέας), Ganguli, Ranjan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 2011.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03269nam a22005775i 4500
001 978-0-85729-907-9
003 DE-He213
005 20151125221549.0
007 cr nn 008mamaa
008 110706s2011 xxk| s |||| 0|eng d
020 |a 9780857299079  |9 978-0-85729-907-9 
024 7 |a 10.1007/978-0-85729-907-9  |2 doi 
040 |d GrThAP 
050 4 |a TA349-359 
072 7 |a TGB  |2 bicssc 
072 7 |a SCI041000  |2 bisacsh 
072 7 |a TEC009070  |2 bisacsh 
082 0 4 |a 620.1  |2 23 
100 1 |a Pawar, Prashant M.  |e author. 
245 1 0 |a Structural Health Monitoring Using Genetic Fuzzy Systems  |h [electronic resource] /  |c by Prashant M. Pawar, Ranjan Ganguli. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 2011. 
300 |a VIII, 132 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction -- Genetic Fuzzy Systems -- SHM of Beams -- SHM of Composite Beams -- SHM of Helicopter Rotors. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Structural mechanics. 
650 0 |a Aerospace engineering. 
650 0 |a Astronautics. 
650 0 |a Civil engineering. 
650 0 |a Building repair. 
650 0 |a Buildings  |x Repair and reconstruction. 
650 1 4 |a Engineering. 
650 2 4 |a Structural Mechanics. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Aerospace Technology and Astronautics. 
650 2 4 |a Building Repair and Maintenance. 
650 2 4 |a Civil Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
700 1 |a Ganguli, Ranjan.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780857299062 
856 4 0 |u http://dx.doi.org/10.1007/978-0-85729-907-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)