Volume 24 Issue 5
Oct.  2024
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QIN Guo-feng, QIN Wang-zhao, MI Pei-wen, LI Ming, FAN Qiu-han. Review on accelerated aging and natural aging studies of composites under wet-heat-load conditions[J]. Journal of Traffic and Transportation Engineering, 2024, 24(5): 173-194. doi: 10.19818/j.cnki.1671-1637.2024.05.012
Citation: QIN Guo-feng, QIN Wang-zhao, MI Pei-wen, LI Ming, FAN Qiu-han. Review on accelerated aging and natural aging studies of composites under wet-heat-load conditions[J]. Journal of Traffic and Transportation Engineering, 2024, 24(5): 173-194. doi: 10.19818/j.cnki.1671-1637.2024.05.012

Review on accelerated aging and natural aging studies of composites under wet-heat-load conditions

doi: 10.19818/j.cnki.1671-1637.2024.05.012
Funds:

National Natural Science Foundation of China 52102473

Guangxi Science and Technology Project GuikeAD22035023

More Information
  • Author Bio:

    QIN Guo-feng(1990-), male, associate professor, PhD, qinguofeng@gxnu.edu.cn

    MI Pei-wen(1991-), female, assistant professor, mipeiwen@gxnu.edu.cn

  • Received Date: 2024-04-09
    Available Online: 2024-12-20
  • Publish Date: 2024-10-25
  • For the accelerated aging and natural aging of composites under wet-heat-load conditions, the change laws of micro aging mechanism (chemical properties and surface cracks) and macroscopic mechanical properties (tensile, shear, and bending) of fiber reinforced resin matrix composites in China and abroad under accelerated aging environments (high temperature environment, hygrothermal environment, and wet-heat-load coupling) and natural aging conditions were reviewed. The general process of durability prediction methods and their application progress were summarized, and the future development trends of aging failure studies of composites were pointed out. Research results show that composites are affected by wet-heat-loading, which is mainly manifested as the changes of matrix, matrix/fiber interface, fiber in terms of material composition or tissue morphology damage in microscopic properties, as well as the changes in mechanical properties such as tensile, compression, shear, and bending in macroscopic properties. The aging failure prediction methods of composites mainly involve the selection of aging metric parameters, the establishment of durability prediction models (linear regression, median strength aging equation, Arrhenius model, and artificial intelligence model), and the determination of an equivalent relationship between accelerated aging and natural aging. In the future, in-depth research should be carried out on the intrinsic connection between the microscopic aging mechanism and macroscopic aging performance of composites in aging environments and the correlation and quantitative analysis of aging laws in different aging environments, so as to further reveal the aging failure mechanism of composites in complex environments. On this basis, accelerated aging and natural aging failure test data of various types of composites can be accumulated, and a more accurate equivalent relationship between accelerated aging and natural aging can be established, so as to realize the prediction of durability of composites. 11 tabs, 122 refs.

     

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