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.
| Original language | English |
|---|---|
| Article number | e8 |
| Journal | EAI Endorsed Transactions on Scalable Information Systems |
| Volume | 9 |
| Issue number | 34 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 Juxing Liang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited
Keywords
- Aluminum alloy for vehicle
- Anti-climbing device dropping hammer impact test
- Big data
- Dynamic constitutive model
ASJC Scopus subject areas
- Software
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Computer Networks and Communications
- Information Systems and Management