Prediction of TBM Disc Cutter Wear and Penetration Rate in Tunneling Through Hard and Abrasive Rock Using Multi-layer Shallow Neural Network and Response Surface Methods : TunnelContact.com

Prediction of TBM Disc Cutter Wear and Penetration Rate in Tunneling Through Hard and Abrasive Rock Using Multi-layer Shallow Neural Network and Response Surface Methods

By Tim Altman 824 days ago Replies (1)

Prediction of TBM Disc Cutter Wear and Penetration Rate in Tunneling Through Hard and Abrasive Rock Using Multi-layer Shallow Neural Network and Response Surface Methods

Anil Kumar Agrawal, V. M. S. R. Murthy, Somnath Chattopadhyaya & A. K. Raina

Rock Mechanics and Rock Engineering (2022)

https://link.springer.com/article/10.1007/s00603-022-02834-7

By Tim Altman 824 days ago
https://link.springer.com/article/10.1007/s00603-022-02834-7
Prediction of TBM Disc Cutter Wear and Penetration Rate in Tunneling Through Hard and Abrasive Rock Using Multi-layer Shallow Neural Network and Response Surface Methods
link.springer.com

Rock Mechanics and Rock Engineering - Tunnel boring machine (TBM) is a popular rock cutting machine for rapid construction of tunnels. This paper mainly dwells on the excess cutter wear and low...