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Analysis and Optimization of Junction between Cylindrical Part and End Dome of Filament Wound Pressure Vessels Using Data Driven Evolutionary Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F24%3A00366994" target="_blank" >RIV/68407700:21220/24:00366994 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1177/09544062231191319" target="_blank" >https://doi.org/10.1177/09544062231191319</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/09544062231191319" target="_blank" >10.1177/09544062231191319</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis and Optimization of Junction between Cylindrical Part and End Dome of Filament Wound Pressure Vessels Using Data Driven Evolutionary Algorithms

  • Original language description

    The junction between cylindrical part and end dome is the most critical place of the filament wound composite pressure vessels because the shear forces and bending moments occur in this area. The strength analyses of junction between cylindrical part and different types of known end domes based on influence coefficients method were performed for filament wound composite pressure vessels manufactured using glass-epoxy and carbon-epoxy composites. Four known end domes were considered i.e., a spherical shell, a geodesic-isotensoid shell, a shell based on minimizing of the Tsai-Hill’s strength criterion and shell designed in authors’ previous work (Hoffman 1 shell). Moreover, the study is also dealing with design of optimal end dome shape which takes account to the junction area. Finding of optimal end dome shape was based on data-driven evolutionary algorithms. Using input dataset from the analytical simulation surrogate models were created using Evolutionary Deep Neural Nets (EvoDN2) algorithm. The multicriterial optimization procedure was performed using Constrained Reference Vector Algorithm (cRVEA) optimization algorithm. Results indicates that the optimal end dome shape highly depend on material properties.

  • 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

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Proceedings of Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering Science

  • ISSN

    0954-4062

  • e-ISSN

    2041-2983

  • Volume of the periodical

    238

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

    2348-2361

  • UT code for WoS article

    001041820000001

  • EID of the result in the Scopus database

    2-s2.0-85166908480