Structural Health Monitoring Using Genetic Fuzzy Systems - Pawar, Prashant M.; Ganguli, Ranjan; - Prospero Internetes Könyváruház
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Értesítés a kedvenc témákról
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Structural Health Monitoring Using Genetic Fuzzy Systems
 
A termék adatai:
ISBN13:9781447159681
ISBN10:1447159683
Kötéstípus:Puhakötés
Terjedelem:132 oldal
Méret:235x155 mm
Súly:226 g
Nyelv:angol
Illusztrációk: VIII, 132 p. Tables, black & white
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Structural Health Monitoring Using Genetic Fuzzy Systems

 
Kiadás sorszáma: 2011
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Previously published in hardcover
 
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Kiadói listaár:
EUR 106.99
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45 385 Ft (43 223 Ft + 5% áfa)
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Kedvezmény(ek): 8% (kb. 3 631 Ft)
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Rövid leírás:

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.

Hosszú leírás:
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 structured components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems.
Tartalomjegyzék:
Introduction.- Genetic Fuzzy Systems.- SHM of Beams.- SHM of Composite Beams.- SHM of Helicopter Rotors.