Analysis of Thermoelastic Stresses in Filament Wound Composite Pressure Vessels Using Evolutionary Deep Learning and Many-objective Optimisation
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Analysis of Thermoelastic Stresses in Filament Wound Composite Pressure Vessels Using Evolutionary Deep Learning and Many-objective Optimisation
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20302 - Applied mechanics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Philosophical Magazine Letters
ISSN
0950-0839
e-ISSN
1362-3036
Volume of the periodical
105
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
29
Pages from-to
1-29
UT code for WoS article
001443178900001
EID of the result in the Scopus database
2-s2.0-105000707246