Volume 47 Issue 12
Dec.  2021
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ZHAN Zhixin, YU Xun, HU Weiping, et al. Fatigue life prediction of aluminum alloy with pre-corrosion damage based on damage mechanics[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(12): 2434-2441. doi: 10.13700/j.bh.1001-5965.2020.0477(in Chinese)
Citation: ZHAN Zhixin, YU Xun, HU Weiping, et al. Fatigue life prediction of aluminum alloy with pre-corrosion damage based on damage mechanics[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(12): 2434-2441. doi: 10.13700/j.bh.1001-5965.2020.0477(in Chinese)

Fatigue life prediction of aluminum alloy with pre-corrosion damage based on damage mechanics

doi: 10.13700/j.bh.1001-5965.2020.0477
Funds:

National Natural Science Foundation of China 12002011

Basic and Applied Basic Research Foundation of Guangdong Province 2019A1515110334

More Information
  • Corresponding author: HU Weiping. E-mail: huweiping@buaa.edu.cn
  • Received Date: 31 Aug 2020
  • Accepted Date: 05 Nov 2020
  • Publish Date: 20 Dec 2021
  • In engineering structures, the corrosion fatigue failure is a common phenomenon. The fatigue crack often occurs around the corrosion pit, which seriously affects the fatigue characteristics of materials. In this paper, based on the continuous damage mechanics, a method is proposed for the fatigue life prediction of aluminum alloy with pre-corrosion damage. First, the influence of corrosion is studied from two aspects: one is the local initial damage caused by corrosion, and the other one is the local stress concentration caused by corrosion pit. Then, the fatigue damage evolution equations considering pre-corrosion damage are established and the related numerical solution is implemented. After that, according to the results of pre-corrosion fatigue test and numerical prediction, the initial damage of material caused by pre-corrosion is obtained. Finally, the fatigue life of the aluminum alloy with pre-corrosion pit is predicted by the proposed method, and the predicted results are compared with the experimental results, which verifies the effectiveness of the proposed method.

     

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