Analysis of Thermoelastic Stresses in Filament Wound Composite Pressure Vessels Using Evolutionary Deep Learning and Many-objective Optimisation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F25%3A00381599" target="_blank" >RIV/68407700:21220/25:00381599 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1080/09500839.2025.2476499" target="_blank" >https://doi.org/10.1080/09500839.2025.2476499</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/09500839.2025.2476499" target="_blank" >10.1080/09500839.2025.2476499</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of Thermoelastic Stresses in Filament Wound Composite Pressure Vessels Using Evolutionary Deep Learning and Many-objective Optimisation
Popis výsledku v původním jazyce
Thermoelastic stresses induced in filament wound composite pressure vessels by temperature changes significantly influence the resulting load of the pressure vessel. This study presents the analytical approaches based on classical lamination theory and netting theory, which can be used for computing these thermoelastic stresses in the basic parts of the pressure vessel, such as the cylinder part, the end dome, and the junction area between them. Two material configurations were considered – glass-epoxy and carbon-epoxy. Concerning the knowledge of the thermoelastic stresses in analysed essential parts of the vessel, the Hoffman failure index analysis was performed. Using this failure index analysis, the critical places of the pressure vessel can be easily detected. Using data-driven evolutionary algorithms, the invariance of the pressure vessel geometry concerning the thermoelastic stresses was verified. Knowing the critical places of the pressure vessel may improve the designer’s decision during the development and design process.
Název v anglickém jazyce
Analysis of Thermoelastic Stresses in Filament Wound Composite Pressure Vessels Using Evolutionary Deep Learning and Many-objective Optimisation
Popis výsledku anglicky
Thermoelastic stresses induced in filament wound composite pressure vessels by temperature changes significantly influence the resulting load of the pressure vessel. This study presents the analytical approaches based on classical lamination theory and netting theory, which can be used for computing these thermoelastic stresses in the basic parts of the pressure vessel, such as the cylinder part, the end dome, and the junction area between them. Two material configurations were considered – glass-epoxy and carbon-epoxy. Concerning the knowledge of the thermoelastic stresses in analysed essential parts of the vessel, the Hoffman failure index analysis was performed. Using this failure index analysis, the critical places of the pressure vessel can be easily detected. Using data-driven evolutionary algorithms, the invariance of the pressure vessel geometry concerning the thermoelastic stresses was verified. Knowing the critical places of the pressure vessel may improve the designer’s decision during the development and design process.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20302 - Applied mechanics
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Philosophical Magazine Letters
ISSN
0950-0839
e-ISSN
1362-3036
Svazek periodika
105
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
29
Strana od-do
1-29
Kód UT WoS článku
001443178900001
EID výsledku v databázi Scopus
2-s2.0-105000707246