Optimization of Dome Shape for 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%2F23%3A00363884" target="_blank" >RIV/68407700:21220/23:00363884 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1080/10426914.2023.2187823" target="_blank" >https://doi.org/10.1080/10426914.2023.2187823</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/10426914.2023.2187823" target="_blank" >10.1080/10426914.2023.2187823</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of Dome Shape for Filament Wound Pressure Vessels Using Data-Driven Evolutionary Algorithms

Popis výsledku v původním jazyce

Filament wound glass/epoxy and carbon/epoxy pressure vessels were designed using a data-driven evolutionary approach along with a classical mechanics-based analysis. Analytical solutions for three known end domes (a spherical shell, a geodesic-isotensoid shell and a shell based on minimizing of the Tsai-Hill’s criterion) and end dome based on Hoffman’s criterion were used to create surrogate models through two different evolutionary optimization algorithms: Evolutionary Neural Net (EvoNN) and Bi-objective Genetic Programming (BioGP) and bi-objective evolutionary optimization studies were carried out using them. Composite pressure vessels are manufactured by means of filament (helical) winding. The stresses in the end domes were evaluated analytically and compared with each other. Hoffman strength criterion was chosen for the evaluation of the critical areas of the shells. Moreover, the best dome shape for given material and polar hole/equator ratio was selected for various types of failure, i.e., a loss of tightness/leakage, the failure of the fibers, damage pressure and the depth of the end dome.

Název v anglickém jazyce

Optimization of Dome Shape for Filament Wound Pressure Vessels Using Data-Driven Evolutionary Algorithms

Popis výsledku anglicky

Filament wound glass/epoxy and carbon/epoxy pressure vessels were designed using a data-driven evolutionary approach along with a classical mechanics-based analysis. Analytical solutions for three known end domes (a spherical shell, a geodesic-isotensoid shell and a shell based on minimizing of the Tsai-Hill’s criterion) and end dome based on Hoffman’s criterion were used to create surrogate models through two different evolutionary optimization algorithms: Evolutionary Neural Net (EvoNN) and Bi-objective Genetic Programming (BioGP) and bi-objective evolutionary optimization studies were carried out using them. Composite pressure vessels are manufactured by means of filament (helical) winding. The stresses in the end domes were evaluated analytically and compared with each other. Hoffman strength criterion was chosen for the evaluation of the critical areas of the shells. Moreover, the best dome shape for given material and polar hole/equator ratio was selected for various types of failure, i.e., a loss of tightness/leakage, the failure of the fibers, damage pressure and the depth of the end dome.

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

2023

Kód důvěrnosti údajů

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

Název periodika

Materials and Manufacturing Processes

ISSN

1042-6914

e-ISSN

1532-2475

Svazek periodika

38

Číslo periodika v rámci svazku

15

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

1899-1910

Kód UT WoS článku

000945643500001

EID výsledku v databázi Scopus

2-s2.0-85150501184