Publication detail
Prediction of fracture toughness temperature dependence from tensile test parameters
ŠMIDA, T. BABJAK, J. DLOUHÝ, I.
Czech title
Predikce teplotní závislosti lomové houževnatosti z parametrů tahové zkoušky
English title
Prediction of fracture toughness temperature dependence from tensile test parameters
Type
journal article - other
Language
en
Original abstract
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.
Czech abstract
Predikce referenční teploty lokalizující teplotní závislost lomové houževnatosti na teplotní ose na základě dat z tahové zkoušky. Úprava regularizační neuronové sítě pro účely řešení korelace uvedených charakteristik. Celkem 29 datových souborů použito pro analýzy. Byla nalezena dobrá korelace predikovaných a experimentálně určených hodnot referenční teploty.
English abstract
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.
Keywords in Czech
oceli, transitní chování, lom, houževnatost, umělé neuronové sítě
Keywords in English
steels, brittle to ductile transition, fracture, toughness, artificial neural network
RIV year
2010
Released
01.01.2010
ISSN
0023-432X
Volume
48
Number
1
Pages from–to
1–8
Pages count
8
BIBTEX
@article{BUT50874,
author="Tibor {Šmida} and Jozef {Babjak} and Ivo {Dlouhý},
title="Prediction of fracture toughness temperature dependence from tensile test parameters",
year="2010",
volume="48",
number="1",
month="January",
pages="1--8",
issn="0023-432X"
}