Neural Networks in Crashworthiness Analysis of Thin-Walled Profile with Foam Filling

• Autorzy: Rogala Michał

Identyfikatory

DOI

10.12913/22998624/120989

• Języki publikacji: EN

Abstrakty

EN

This article presents the numerical tests of thin-walled compressed columns with a square cross-section. The crush efficiency indicators were determined using the finite element method (Abaqus) and neural networks of MLP. The models had a constant circular trigger, with a diameter of 32 mm. During dynamic analysis, the samples were loaded with 1700 J. The numerical models were filled with aluminum foam from 40 mm to 180 mm every 20 mm. The study presents the conclusions for the thin-walled models with crushable foam.

Słowa kluczowe

EN

energy dissipation; thin-walled structure; aluminium foam; energy absorption

PL

rozpraszanie energii; konstrukcja cienkościenna; pianka aluminiowa; pochłanianie energii

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2020
• Tom: Vol. 14, no 3
• Strony: 93--99
• Opis fizyczny: Bibliogr. 21 poz., fig., tab.

Twórcy

autor

Rogala Michał

• Department of Mechanical Engineering, Lublin University of Technology, Lublin, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).