Settlement prediction of Nanjing Metro Line 10 with HOA-VMD-LSTM DOI Creative Commons
Xiangfeng Duan

Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116477 - 116477

Published: Dec. 1, 2024

Language: Английский

Prediction of disc cutter wear of shield machines based on transfer learning DOI

Yuxiang Meng,

Qian Fang, Guoli Zheng

et al.

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 162, P. 106633 - 106633

Published: April 14, 2025

Language: Английский

Citations

0
Advance on rock-breaking cutter steels: A review of characteristics, failure modes, molding processes and strengthening technology DOI Creative Commons
Ying Jiang, Bai–Xin Dong, Jun Fan

et al.

Journal of Materials Research and Technology, Journal Year: 2024, Volume and Issue: 31, P. 2328 - 2354

Published: June 28, 2024

Rock breaking has always been a challenging problem that must be solved in projects such as excavating mountains, drilling wells, and constructing railways. Among the rock-breaking cutter steels, AISI H13 steel wear-resistant high manganese have become best choices. From characteristics failure modes of two, steels should simultaneously strength, toughness wear resistance to avoid short-term fracture/damage cost increase. Analyzing problems existing molding process die casting, forging, hot stamping, traditional strengthening technologies alloying optimization, heat treatment, surface treatment can achieve certain performance enhancement. After reaching limits technologies, series nanoparticle came into being. The selection, addition amount, method nanoparticles all affect microstructure, mechanical properties wear. To this end, article summarizes research progress challenges discusses mainstream technologies. It provides reference for future development high-quality high-performance with aim expand their application potentials other fields.

Language: Английский

Citations

3
A novel identification technology and real-time classification forecasting model based on hybrid machine learning methods in mixed weathered mudstone-sand-pebble formation DOI
Yong Zeng, Yingjie Wei, Yuyou Yang

et al.

Tunnelling and Underground Space Technology, Journal Year: 2024, Volume and Issue: 153, P. 106045 - 106045

Published: Sept. 4, 2024

Language: Английский

Citations

3
Experimental and numerical investigation of the TBM disc cutter wear using a new tunnel boring machine laboratory simulator DOI Creative Commons
Hamid Chakeri, Mohammad Darbor,

Hadi Shakeri

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e37148 - e37148

Published: Aug. 29, 2024

Language: Английский

Citations

2
Evaluation method and application for cutter wear of large-diameter shield in composite stratum: A case study DOI
Jiuqi Wu, Xiangsheng Chen, Xiang Shen

et al.

Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 115789 - 115789

Published: Sept. 1, 2024

Language: Английский

Citations

2
Settlement prediction of Nanjing Metro Line 10 with HOA-VMD-LSTM DOI Creative Commons
Xiangfeng Duan

Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116477 - 116477

Published: Dec. 1, 2024

Language: Английский

Citations

0