Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA

Liang, Juxing and Sun, Jia and Wei, Wei and Laghari, Rashid Ali (2021) Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA. EAI Endorsed Transactions on Scalable Information Systems, 9 (22). e8. ISSN 2032-9407

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Abstract

The mechanical test for the three commonly used aluminum alloy materials (6005A-T6, 6008-T6 and 6082-T6) for rail vehicle big data are carried at different temperatures and different strain rates in this study. It can be seen that there are significant difference mechanical properties for these aluminum alloy. The main differences between them are the sensitivity of the strain rate and temperature. 6008-T6 and 6005A-T6 alloys have lower sensitivity to strain rate, while 6082-T6 alloy has higher sensitivity to strain rate and temperature. Based on the experimental data, the two commonly used dynamic material models of LS-DYNA, the Cowper-Symonds constitutive model and the Johnson-Cook constitutive model, are fitted. And then the two constitutive models are verified and compared by the dropping hammer impact test of the anti-climbing device. The results show that the Cowper-Symonds constitutive model has higher accuracy.

Item Type: Article
Uncontrolled Keywords: big data, Dynamic constitutive model, Aluminum alloy for vehicle, Anti-climbing device dropping hammer impact test
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 30 Mar 2022 12:55
Last Modified: 30 Mar 2022 12:55
URI: https://eprints.eudl.eu/id/eprint/10254

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