It takes the average reader 2 hours and 13 minutes to read Structural Health Monitoring Using Genetic Fuzzy Systems by Prashant M. Pawar
Assuming a reading speed of 250 words per minute. Learn more
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.
Structural Health Monitoring Using Genetic Fuzzy Systems by Prashant M. Pawar is 132 pages long, and a total of 33,264 words.
This makes it 45% the length of the average book. It also has 41% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 1 minute to read Structural Health Monitoring Using Genetic Fuzzy Systems aloud.
Structural Health Monitoring Using Genetic Fuzzy Systems is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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