线,线线寿

Jiachen Zhou1, Lishuai Liu2, Haiming Xu1

  • 1Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China.

Ultrasonics
|June 3, 2025
PubMed
概括

这项研究引入了一种新的数据驱动方法,将超声波参数结合起来,以准确预测金属元件的裂传播和剩余疲劳寿命 (RFL),从而提高结构完整性的评估.

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