共 30 条
- [1] Zeng Shan, Ling Shusen, Study on the reliability of residual strength in fatigue, Chinese Journal of Theoretical and Applied Mechanics, 30, 2, pp. 220-228, (1998)
- [2] Guo Hongchao, Mao Kuanhong, Wan Jinhuai, Et al., Research progress on fatigue properties of high strength steels, Journal of Building Structures, 40, 4, pp. 17-28, (2019)
- [3] Wang Yanqun, Liu Yinghua, Tang Haiyuan, Numerical modeling of fatigue crack growth with cyclic hardening of materiais, Chinese Journal of Theoretical and Applied Mechanics, 29, 3, pp. 296-305, (1997)
- [4] Zhang Zhefeng, Liu Rui, Zhang Zhenjun, Et al., Exploration on the unified model for fatigue properties prediction of metallic materials, Acta Metall Sin, 54, 11, pp. 1693-1704, (2018)
- [5] Li Yabo, Song Qingyuan, Yang Kai, Et al., Probabilistic control volume method for the size effect of specimen fatigue performance, Chinese Journal of Theoretical and Applied Mechanics, 51, 5, pp. 1363-1371, (2019)
- [6] Wang Rui, Qi Taiyue, Study on crack characteristics based on machine vision detection, China Civil Engineering Journal, 49, 7, pp. 123-128, (2016)
- [7] Lu Yongxiang, Study on fatigue crack detection of cylinder head materials based on image processing, (2018)
- [8] Liu Yufei, Fan Jiansheng, Nie Jianguo, Et al., Review and prospect of digital-image-based crack detection of structure surface, China Civil Engineering Journal, 54, 6, pp. 79-98, (2021)
- [9] Nguyen NHT, Perry S, Bone D, Et al., Two-stage convolutional neural network for road crack detection and segmentation, Expert Systems with Applications, 186, (2021)
- [10] Yan Banfu, Xu Guanya, Luan Jian, Et al., Pavement distress detection based on faster r-cnn and morphological operations, China Journal of Highway and Transport, 34, 9, pp. 181-193, (2021)