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- W2766844428 abstract "Damage detection in structural elements like beams is one of important research areas forhealth monitoring. Initiation of a fault in the form of a crack or any damage puts a limitationon the service life of a structural member. So, in this paper, a method is proposed whichuses the advantages of soft computing techniques like Fuzzy Inference Systems (Mamdaniand Sugeno) and Adaptive Genetic Algorithm for three stage refinement of the data basegenerated using dynamic responses from a cracked fixed-free aluminum alloy beam element.For the crack element reference, a finite element model of a single transverse crack has beenconsidered. The proposed method describes both Mamdani and Sugeno Fuzzy InferenceSystems for training of damage parameters. In the Adaptive Genetic Algorithm, a statisticsbased method has been incorporated to limit the randomness of the search process. Finally,the results from the Mamdani-Adaptive Genetic-Sugeno model (MAS) are validated withthe results from the experimental analysis." @default.
- W2766844428 created "2017-11-10" @default.
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- W2766844428 date "2017-10-15" @default.
- W2766844428 modified "2023-09-26" @default.
- W2766844428 title "Design and development of 3-stage determination of damage location using Mamdani-adaptive genetic-Sugeno model" @default.
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- W2766844428 doi "https://doi.org/10.15632/jtam-pl.55.4.1325" @default.
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