| 
| 
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
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 (a), V. M. S. R. Murthy (a), Somnath Chattopadhyaya (a) & A. K. Raina (b)
(a) Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, 826004, India
(b) CSIR-Central Institute of Mining and Fuel Research, Unit—I, 17/C Telangkhedi Area, Civil Lines, Nagpur, Maharashtra, 440001, India
Rock Mechanics and Rock Engineering (2022)
https://link.springer.com/article/10.1007/s00603-022-02834-7#citeas
cover tunnel photo by: Matt Brown from London, England / CC BY
.jpg){kind=link}
Copyright 2019-2024 TunnelContact.com
https://link.springer.com/article/10.1007/s00603-022-02834-7#citeas
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.comRock 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...