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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20302 - Applied mechanics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

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

ISSN

0954-4062

e-ISSN

2041-2983

Svazek periodika

238

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

2348-2361

Kód UT WoS článku

001041820000001

EID výsledku v databázi Scopus

2-s2.0-85166908480