Free vibration analysis of elastically supported Timoshenko columns with attached
IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)
View Archive Info| Field | Value | |
| Creator |
Demirdag, Oktay
Sazi Murat, Yetis |
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| Date |
2009-03-30T05:55:08Z
2009-03-30T05:55:08Z 2009 |
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| Identifier |
0022-4456
http://hdl.handle.net/123456789/3479 |
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| Description |
285-291
This study presents elastically supported Timoshenko column with attached masses for free vibration analysis using fuzzy neural network. Neuro fuzzy frequency estimation (NFEE) models were developed to compute vibration frequencies using fuzzy logic toolbox of software Matlab 7.0. Gaussian membership functions and adaptive neuro fuzzy inference system (ANFIS) were used in NFFE model. Hybrid learning rule was applied for quantifying output variables in NFFE model. Frequency values of column with 1, 5 and 10 attached masses were computed. Training sets for NFFE models used transfer matrix method (TMM). During testing of NFFE model, good agreement was observed with results obtained using TMM as reduction in computation effort. |
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| Language |
en_US
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| Publisher |
CSIR
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| Source |
JSIR Vol.68(04) [April 2009]
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| Subject |
Elastic support
Free vibration Neuro-Fuzzy Timoshenko model TMM |
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| Title |
Free vibration analysis of elastically supported Timoshenko columns with attached
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| Type |
Article
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