3D prediction of tunneling-induced ground movements based on a hybrid ANN and empirical methods
Tunnel construction in urban areas causes ground displacement which may distort and damage overlying buildings and municipal utilities. It is therefore extremely important to predict tunneling-induced ground movements in tunneling projects. To predict the tunneling-induced ground movements, artifici...
| Main Authors: | Hajihassani, M., Kalatehjari, R., Marto, A., Mohamad, H., Khosrotash, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23426 / |
| Published: |
Springer
2020
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061482262&doi=10.1007%2fs00366-018-00699-5&partnerID=40&md5=6e0068c682d37379a967e95f9d65485d http://eprints.utp.edu.my/23426/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|