EAI Endorsed Transactions on Scalable Information Systems | |
Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA | |
article | |
Juxing Liang1  Jia Sun1  Wei Wei2  Rashid Ali Laghari3  | |
[1] CRRC Nanjing Puzhen Co., Ltd. Nanjing 210000 China;School of Mechatronics Engineering, Harbin Institute of Technology;College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics | |
关键词: big data; Dynamic constitutive model; Aluminum alloy for vehicle; Anti-climbing device dropping hammer impact test; | |
DOI : 10.4108/eai.28-9-2021.171169 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Bern Open Publishing | |
【 摘 要 】
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.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202307110000875ZK.pdf | 3294KB | download |