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.
| Autorius: | Aydin Azizi, Danial Jahed Armaghani, |
| Serija: | SpringerBriefs in Applied Sciences and Technology |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2021 |
| Knygos puslapių skaičius: | 80 |
| ISBN-10: | 9811610339 |
| ISBN-13: | 9789811610332 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Probability and statistics |
Parašykite atsiliepimą apie „Applications of Artificial Intelligence in Tunnelling and Underground Space Technology“
