EVALUATION OF MATERIAL PROPERTIES OF STRUCTURAL STEELS USING ARTIFICIAL INTELIGENCE NEURAL NETWORK METHOD

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25870807%3A_____%2F19%3AN0000017" target="_blank" >RIV/25870807:_____/19:N0000017 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

EVALUATION OF MATERIAL PROPERTIES OF STRUCTURAL STEELS USING ARTIFICIAL INTELIGENCE NEURAL NETWORK METHOD

Popis výsledku v původním jazyce

This work summarizes results and progress in new method development for identification of material properties of steel. This work deals with application of the small punch test for evaluation of material degradation of power station in the Czech Republic within the project TE01020068 “Centre of research and experimental development of reliable energy production, work package 8: Research and development of new testing methods for evaluation of material properties”. The main effort is here an improvement of empirical correlation of selected steel materials used in power industry for the manufacturing of critical components (rotors, steampipes, etc.). The effort here is on the utilization of the finite element method (FEM) and the neural network (NN) for evaluation of mechanical properties (Young modulus of elasticity, yield stress, tensile strength) of the selected material, based on SPT results only. Paper contains results of experimental work carried out over past 7 years. After modification of actual neural network and increasing of the number of results interesting results of mechanical properties prediction have been obtained. Increasing data of points in common up to 300, leads to significantly lower deviation that varies about 3-5 %.

Název v anglickém jazyce

EVALUATION OF MATERIAL PROPERTIES OF STRUCTURAL STEELS USING ARTIFICIAL INTELIGENCE NEURAL NETWORK METHOD

Popis výsledku anglicky

This work summarizes results and progress in new method development for identification of material properties of steel. This work deals with application of the small punch test for evaluation of material degradation of power station in the Czech Republic within the project TE01020068 “Centre of research and experimental development of reliable energy production, work package 8: Research and development of new testing methods for evaluation of material properties”. The main effort is here an improvement of empirical correlation of selected steel materials used in power industry for the manufacturing of critical components (rotors, steampipes, etc.). The effort here is on the utilization of the finite element method (FEM) and the neural network (NN) for evaluation of mechanical properties (Young modulus of elasticity, yield stress, tensile strength) of the selected material, based on SPT results only. Paper contains results of experimental work carried out over past 7 years. After modification of actual neural network and increasing of the number of results interesting results of mechanical properties prediction have been obtained. Increasing data of points in common up to 300, leads to significantly lower deviation that varies about 3-5 %.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20501 - Materials engineering

Projekt

<a href="/cs/project/TE01020068" target="_blank" >TE01020068: Centrum výzkumu a experimentálního vývoje spolehlivé energetiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Metal 2019 28th International Conference on Metallurgy and Materials Conference Proceedings

ISBN

978-80-87294-92-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

703 - 708

Název nakladatele

Tanger Ltd.

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

22. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

999