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  • Prediction of reference temperature localising the fracture toughness temperature diagram on temperature axis based on tensile test data. Regularisation neural network was developed to solve the correlation of these properties. In total 29 datat sets from low alloy steels were applied for the analyses. A good correlation of predicted and experimentally determined values of reference temperature was found.
  • Prediction of reference temperature localising the fracture toughness temperature diagram on temperature axis based on tensile test data. Regularisation neural network was developed to solve the correlation of these properties. In total 29 datat sets from low alloy steels were applied for the analyses. A good correlation of predicted and experimentally determined values of reference temperature was found. (en)
Title
  • Prediction of fracture toughness temperature dependence from tensile test parameters
  • Prediction of fracture toughness temperature dependence from tensile test parameters (en)
skos:prefLabel
  • Prediction of fracture toughness temperature dependence from tensile test parameters
  • Prediction of fracture toughness temperature dependence from tensile test parameters (en)
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  • RIV/00216305:26210/10:PU92264!RIV11-GA0-26210___
http://linked.open...avai/riv/aktivita
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  • P(GAP108/10/0466)
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  • 1
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  • 281068
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  • RIV/00216305:26210/10:PU92264
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  • steels, brittle to ductile transition, fracture, toughness, artificial neural network (en)
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  • CZ - Česká republika
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  • [27BD9557BF9B]
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 48
http://linked.open...iv/tvurceVysledku
  • Dlouhý, Ivo
  • Babjak, Jozef
  • Šmida, Tibor
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  • 0023-432X
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  • 26210
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