- Hauptmenü-

Kategorienanzeige

MAB

Structural Health Monitoring Using Genetic Fuzzy Systems
Kategorie	Beschreibung
036a	XA-GB
037b	eng
087q	978-0-85729-906-2
100	Pawar, Prashant M.
104b	Ganguli, Ranjan
331	Structural Health Monitoring Using Genetic Fuzzy Systems
410	London
412	Springer-Verlag London Limited
425	2011
425a	2011
433	Online-Ressource (VIII, 130p. 39 illus., 1 illus. in color, digital)
451b	SpringerLink. Bücher
501	Includes bibliographical references and index
517	Structural Health Monitoring Using Genetic Fuzzy Systems; Preface; Contents; Chapter 1: Introduction; 1.1 Terms and Definitions Related to SHM; 1.2 SHM Approaches; 1.3 Soft Computing Methods for Health Monitoring; 1.4 Book Summary; References; Chapter 2: Genetic Fuzzy System; 2.1 Fuzzy Logic System; 2.2 Genetic Algorithms; 2.3 Genetic Fuzzy System; 2.4 Summary; References; Chapter 3: Structural Health Monitoring of Beams; 3.1 Damage Modeling in 1D Beam; 3.2 Formulation of Genetic Fuzzy System; 3.3 Structural Health Monitoring for Uniform Beam. 3.4 Structural Health Monitoring for Nonuniform Beam3.5 SHM for BO105 Hingeless Helicopter Rotor Blade; 3.6 Summary; References; Chapter 4: Structural Health Monitoring of Composite Tubes; 4.1 Matrix Cracking in Hollow Circular Cross Section; 4.2 Modal Analysis; 4.3 Damage Detection in Composite Structure; 4.4 Summary; References; Chapter 5: Structural Health Monitoring of Composite Helicopter Rotor; 5.1 Mathematical Model; 5.2 Data Reduction; 5.3 Life of the Structure; 5.4 Behavior of Composite Rotor Blade; 5.5 Numerical Simulation of Measurement Deltas; 5.6 Predicting Life Consumption. 5.7 SummaryReferences; Appendix : MATLAB Codes; Index
527	Buchausg. u.d.T.ISBN: 978-0-85729-906-2
540a	ISBN 978-0-85729-907-9
700	\|TGB
700	\|SCI041000
700	\|TEC009070
700	\|*92-02
700	\|62P30
700	\|62N05
700	\|62N86
700	\|68T37
700b	\|620.1054
700b	\|621.80287
700b	\|620
700c	\|TA349-359
750	Ranjan Ganguli
753	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 bein
012	348694652
081	Pawar, Prashant M.: Structural Health Monitoring Using Genetic Fuzzy Systems
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-0-85729-907-9