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Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Conservation of buildings & building materials
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Structural Health Monitoring Using Genetic Fuzzy Systems (Hardcover, 2011 Ed.)
Loot Price: R3,006
Discovery Miles 30 060
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Structural Health Monitoring Using Genetic Fuzzy Systems (Hardcover, 2011 Ed.)
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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.
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