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Updated: May 2, 2026

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使用深度学习来捕捉石土壤的微观结构和液压特性

Bin Zhu1, Yu-Fei Xie2, Xiang-Gang Hu2

  • 1Earth Sciences College, Guilin University of Technology, Guilin, 541004, China. 1999002@glut.edu.cn.

Scientific reports
|July 2, 2025
PubMed
概括

瓦斯斯坦的生成对抗网络 (WGAN) 重建了石土壤的微观结构,准确地预测了液压性能. 这种方法捕捉了颗粒大小的差异,这对于了解透和砂土壤的稳定性至关重要.

关键词:
模仿液压性能,模仿液压性能.机器学习 机器学习孔尺度的CFD模拟孔隙结构 孔隙结构华斯斯坦生成对抗网络 (WGAN)

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