Static and dynamic impact performance optimization of CFRP/Al bolt joint coupling structure-lay-up-connection parameters

Xu, Wenchao; Wang, Dengfeng

doi:10.1007/s43452-022-00441-5

Artykuł - szczegóły

Tytuł artykułu

Static and dynamic impact performance optimization of CFRP/Al bolt joint coupling structure-lay-up-connection parameters

Autorzy

Xu Wenchao , Wang Dengfeng

Wybrane pełne teksty z tego czasopisma

http://www.springer.com/journal/43452

Identyfikatory

DOI

10.1007/s43452-022-00441-5

Warianty tytułu

Języki publikacji

Abstrakty

Static shearing, drawing, and dynamic impact test schemes of carbon fber reinforced polymer (CFRP)/aluminum alloy (Al) bolt joint were designed. The fnite element model of the CFRP/Al bolt joint was established, and the failure modes of the joints under the static and dynamic impact conditions were analyzed. The structure, lay-up, and connection parameters of the joint were defned as design variables, and the static and dynamic impact performance indicators of the joint and the lay-up numbers of the CFRP sheet were defned as optimization objectives. Integrated multiobjective optimization was conducted for joints, employing the radial basis function neural network (RBFNN) surrogate model, elitist nondominated sorting genetic (NSGA-II) algorithm, and entropy-technique for order preference by similarity to ideal solution (E-TOPSIS) decision method. The best trade-of solution was obtained, and the optimal design variables were determined. The optimized joint was fabricated, and static and dynamic impact tests were carried out. The test and simulation results were compared to verify the efectiveness of simulation and optimization.

Słowa kluczowe

CFRP aluminum bolt joint static analysis impact analysis multiobjective optimization integration design

CFRP złącze śrubowe aluminiowe analiza statyczna analiza wpływu optymalizacja wielocelowa

Wydawca

Springer
Wrocław University of Science and Technology

Czasopismo

Archives of Civil and Mechanical Engineering

Rocznik

2022

Tom

Vol. 22, no. 3

Strony

art. no. e118

Opis fizyczny

Bibliogr. 37 poz., rys., tab., wykr.

Twórcy

autor

Xu Wenchao

State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China

autor

Wang Dengfeng

caewdf@126.com

State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China

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)

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-f901f44f-0ee8-4559-830b-ddcc265a4404