Application of genetic algorithm for double-lap adhesive joint design

• Autorzy: Kurennov Sergei , Barakhov Konstantin , Polyakov Olexander , Taranenko Igor

Identyfikatory

DOI

10.24425/ame.2022.144074

• Języki publikacji: EN

Abstrakty

EN

The problem of optimal design of symmetrical double-lap adhesive joint is considered. It is assumed that the main plate has constant thickness, while the thickness of the doublers can vary along the joint length. The optimization problem consists in finding optimal length of the joint and an optimal cross-section of the doublers, which provide minimum structural mass at given strength constraints. The classical Goland-Reissner model was used to describe the joint stress state. A corresponding system of differential equations with variable coefficients was solved using the finite difference method. Genetic optimization algorithm was used for numerical solution of the optimization problem. In this case, Fourier series were used to describe doubler thickness variation along the joint length. This solution ensures smoothness of the desired function. Two model problems were solved. It is shown that the length and optimal shape of the doubler depend on the design load.

Słowa kluczowe

EN

adhesive joint; genetic algorithm; optimization; finite difference method; Goland-Reissner model

PL

złącze klejowe; algorytm genetyczny; optymalizacja; metoda różnic skończonych; Model Golanda-Reissnera

• Wydawca: Komitet Budowy Maszyn PAN
• Czasopismo: Archive of Mechanical Engineering
• Rocznik: 2023
• Tom: LXX, nr 1
• Strony: 27--42
• Opis fizyczny: Bibliogr. 29 poz., rys.

Twórcy

autor

Kurennov Sergei

• National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine

• https://orcid.org/0000-0002-3835-3288

autor

Barakhov Konstantin

• National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine

• https://orcid.org/0000-0003-1714-7917

autor

Polyakov Olexander

• National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine

• https://orcid.org/0000-0003-3742-7246

autor

Taranenko Igor

• National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine

• https://orcid.org/0000-0001-9554-0162

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).