This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM performance predictive models will be discussed in details. Then, this book introduces several predictive models i.e., statistical and intelligent techniques which are applicable, powerful and easy to implement, in estimating TBM performance parameters. The introduced models are accurate enough and they can be used for prediction of TBM performance in practice before designing TBMs.
| ISBN: | 9789811610332 |
| Publication date: | 14th March 2021 |
| Author: | Danial Jahed Armaghani, Aydin Azizi |
| Publisher: | Springer Verlag, Singapore |
| Format: | Paperback |
| Pagination: | 70 pages |
| Series: | SpringerBriefs in Applied Sciences and Technology |
| Genres: |
Structural engineering Statistical physics Earth sciences Probability and statistics Production and industrial engineering Maths for engineers |