Developing Statistical Models for Solving Tunnel Boring Machine Performance Problem
Danial Jahed Armaghani,
Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
Aydin Azizi
School of Engineering, Computing and Mathematics, Oxford Brookes University, Wheatley Campus, Oxford, UK
Available also an e-book to be downloaded at:
https://link.springer.com/chapter/10.1007%2F978-981-16-1034-9_3
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https://link.springer.com/chapter/10.1007%2F978-981-16-1034-9_3
Developing Statistical Models for Solving Tunnel Boring Machine Perfor
link.springer.comThe efficiency of tunnel boring machines (TBMs) in tunnelling projects has great importance for civil and geotechnical industries. A reliable and applicable model for predicting TBM performance is of...