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ANN Modeling for Prediction of Fatigue Crack Growth Rate
Editore:
LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139930693
ISBN 13: 9786139930692
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fatigue crack growth is one of the most important factors in the design of the different mechanical structures. Different models were developed to predict the fatigue crack growth rate. These models cannot be used for different materials to predict the fatigue crack growth rate and examine the effect of different parameters.The neural network is a complicated nonlinear dynamic system with the ability of prediction based on real time information. It is a good tool to develop quantitative predictive method for the fatigue crack growth rate based on experimental data. The prediction of crack retardation using ANN shows greater accuracy as compared to the wheeler model. The overload application reduces the crack growth and results in enhanced fatigue life. 64 pp. Englisch. Codice articolo 9786139930692
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ANN Modeling for Prediction of Fatigue Crack Growth Rate
ISBN 10: 6139930693
ISBN 13: 9786139930692
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. Codice articolo 26394697923
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ANN Modeling for Prediction of Fatigue Crack Growth Rate
ISBN 10: 6139930693
ISBN 13: 9786139930692
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand. Codice articolo 401679132
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ANN Modeling for Prediction of Fatigue Crack Growth Rate
ISBN 10: 6139930693
ISBN 13: 9786139930692
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND. Codice articolo 18394697929
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ANN Modeling for Prediction of Fatigue Crack Growth Rate
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139930693
ISBN 13: 9786139930692
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta Saurabh KumarDr. Saurabh Kumar Gupta is working as an Assistant Professor in the Department of Mechanical Engineering Raj Kumar Goel Institute of Technology, Ghaziabad. He has done Ph.D. & M.Tech in Mechanical Engineering from . Codice articolo 255955918
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ANN Modeling for Prediction of Fatigue Crack Growth Rate
Editore:
LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139930693
ISBN 13: 9786139930692
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -Fatigue crack growth is one of the most important factors in the design of the different mechanical structures. Different models were developed to predict the fatigue crack growth rate. These models cannot be used for different materials to predict the fatigue crack growth rate and examine the effect of different parameters.The neural network is a complicated nonlinear dynamic system with the ability of prediction based on real time information. It is a good tool to develop quantitative predictive method for the fatigue crack growth rate based on experimental data. The prediction of crack retardation using ANN shows greater accuracy as compared to the wheeler model. The overload application reduces the crack growth and results in enhanced fatigue life.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Codice articolo 9786139930692
Quantità: 2 disponibili
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ANN Modeling for Prediction of Fatigue Crack Growth Rate
Editore:
LAP LAMBERT Academic Publishing
ISBN 10: 6139930693
ISBN 13: 9786139930692
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fatigue crack growth is one of the most important factors in the design of the different mechanical structures. Different models were developed to predict the fatigue crack growth rate. These models cannot be used for different materials to predict the fatigue crack growth rate and examine the effect of different parameters.The neural network is a complicated nonlinear dynamic system with the ability of prediction based on real time information. It is a good tool to develop quantitative predictive method for the fatigue crack growth rate based on experimental data. The prediction of crack retardation using ANN shows greater accuracy as compared to the wheeler model. The overload application reduces the crack growth and results in enhanced fatigue life. Codice articolo 9786139930692
Quantità: 1 disponibili
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ANN Modeling for Prediction of Fatigue Crack Growth Rate
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139930693
ISBN 13: 9786139930692
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Taschenbuch
Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. ANN Modeling for Prediction of Fatigue Crack Growth Rate | Saurabh Kumar Gupta | Taschenbuch | 64 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139930692 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 114939267
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