Formulation of a genetic algorithm based methodology for multiple crack detection in a beam structure

In the current analysis, the vibration characteristics of a cracked cantilever beam having different crack locations and depths have been studied. Numerical and finite element methods have been used to extract the diagnostic indices (natural frequencies, mode shapes) from the beam structure. An inte...

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Bibliographic Details
Published in:Australian journal of structural engineering 2012-05, Vol.12 (2), p.127-139
Main Authors: Parhi, Dayal R, Dash, Amiya Kumar, Das, Harish Chandra
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Construction industry
Design and construction
Fault location (Engineering)
Foot-and-mouth disease
Gene mutations
Genetic research
Neural networks
Structural frames
Technological innovations
Online Access:Get full text
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Summary:In the current analysis, the vibration characteristics of a cracked cantilever beam having different crack locations and depths have been studied. Numerical and finite element methods have been used to extract the diagnostic indices (natural frequencies, mode shapes) from the beam structure. An intelligent genetic algorithm based controller has been designed to automate the fault identification process. Single point crossover and mutation procedure have been followed to find out the optimal solution from the search space. The outcome from the developed controller shows that the system could not only detect the cracks but also predict their locations and severities.
ISSN:1328-7982