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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20302 - Applied mechanics

Result continuities

  • Project

  • 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