Prediction of compression coefficient of Nanjing floodplain soft soil based on explainable artificial intelligence DOI
Bin Ruan,

Chongjin Liu,

Zhenglong Zhou

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 65, С. 103308 - 103308

Опубликована: Апрель 8, 2025

Язык: Английский

Integration of FEM and DL for seismic performance prediction and optimization design of tunnels DOI
Bin Ruan, Yang Chen,

Yipei Ye

и другие.

Tunnelling and Underground Space Technology, Год журнала: 2025, Номер 161, С. 106535 - 106535

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

1

Experimental Study on the Influence of Particle Gradation on the Resistivity Characteristics of Saturated Coral Sand DOI Creative Commons

Zhenglong Zhou,

Haitao Zhang, Zelong Zhao

и другие.

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(2), С. 255 - 255

Опубликована: Янв. 29, 2025

Due to the action of hydraulic sorting, coral sands in different engineering site areas usually have particle gradations. To explore impact gradation on resistivity characteristics saturated sand, an experimental study was conducted effects coefficient uniformity Cu, mean size d50, and fines content Fc sand. The results show that under same porosity, sand gradually decreases with increase increases first then Fc. When equals 20%, is at its minimum. eliminate influence pore fluid characteristics, a structural factor introduced evaluate prediction model for considering effect as function porosity established.

Язык: Английский

Процитировано

0

Prediction of compression coefficient of Nanjing floodplain soft soil based on explainable artificial intelligence DOI
Bin Ruan,

Chongjin Liu,

Zhenglong Zhou

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 65, С. 103308 - 103308

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0