DocumentCode :
1785406
Title :
Automatic design of fuzzy MF using Genetic Algorithm for fault detection in structural elements
Author :
Sahu, Suranjika ; Parhi, Dayal R.
Author_Institution :
Dept. of Mech. Eng., Nat. Inst. of Technol., Rourkela, India
fYear :
2014
fDate :
28-30 May 2014
Firstpage :
1
Lastpage :
5
Abstract :
Damage in a structural element may occur due to normal operations, accidents, deterioration or severe natural events such as earthquakes or storms. The effects of common damage on a structure are changes in natural frequencies, mode shapes and structural damping. Most often the extent and location of damage may be determined through visual inspection. But this is a time consuming and erroneous method. Since the measurement of natural frequencies easier than that of changes in structural damping, damage can be detected from dynamic analysis using natural frequencies. In this paper a combination of fuzzy logic and Genetic Algorithm has been used to find out crack location. The first three natural frequencies of the cracked structural element are taken as the, three independent input variables. Here membership functions are optimized by using genetic algorithm or we can say membership functions are automatically generated by using genetic algorithm.
Keywords :
beams (structures); cantilevers; cracks; damping; design engineering; fault diagnosis; fuzzy set theory; genetic algorithms; inspection; structural engineering; cantilever beam; crack location; fault detection; fuzzy MF design; fuzzy logic; genetic algorithm; membership functions; mode shapes; natural frequencies; structural damping; structural elements; structure damage; visual inspection; Biological cells; Finite element analysis; Fuzzy logic; Fuzzy systems; Genetic algorithms; Structural beams; Vibrations; cantilever beam; fuzzy logic; genetic algorithm; natural frequencies; vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering and Systems (SCES), 2014 Students Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4799-4940-3
Type :
conf
DOI :
10.1109/SCES.2014.6880069
Filename :
6880069
Link To Document :
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