Prediction of ground settlement due to tunneling using artifical neural networks
Ground surface settlement trough associated to tunneling is characterized by two important parameters: the maximum surface settlement at the point above the tunnel centerline (Smax) and the width parameter (i) which is defined as the distance from the tunnel centerline to the inflection point of the...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2008
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/12217 |