Tunnel boring machine performance prediction in tropically weathered granite through empirical and computational methods
Thesis (PhD. (Civil Engineering))
Main Author: | Armaghani, Danial Jahed |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Universiti Teknologi Malaysia
2024
|
Subjects: | |
Online Access: | https://openscience.utm.my/handle/123456789/1292 |
Similar Items
-
Tunnel boring machine performance prediction in tropically weathered granite through empirical and computational methods [electronic resource] /
by: Danial Jahed Armaghani, 1985-
Published: (2015) -
Tunnel boring machine performance prediction in tropically weathered granite through empirical and computational methods /
by: Danial Jahed Armaghani, 1985-, et al.
Published: (2015) -
The Reliability of a Tunnel Boring Machine
by: Mohammad Javad Jafari, et al.
Published: (2009-07-01) -
The Reliability of a Tunnel Boring Machine
by: Hamid Reza Sheikhi, et al.
Published: (2009-04-01) -
Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
by: Hai Xu, et al.
Published: (2019-09-01)