Prediction of Tunnelling-Induced Settlement Trough by Artificial Neural Networks

E Soranzo, C Pock, C Guardiani, Y Wang… - … Geotechnical Research at …, 2024 - Springer
Tunnelling-induced settlement is usually estimated based on field data. However, the data
are representative of the local study area only depending on such parameters as geology …

Prediction of ground settlement due to tunneling using artifical neural networks

DK Hidayat - 2006 - dr.ntu.edu.sg
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) …

[PDF][PDF] Neuronet prediction of tunnelling induced settlements

AA Ahmed, H Ali, S El-Sayed… - Proc. of the Tenth Int …, 2003 - researchgate.net
Recent proliferation of tunnels in urban congested areas necessitates the continual updating
of subsidence prediction techniques using settlement records of tunnel monitoring …

[HTML][HTML] Effectiveness of predicting tunneling-induced ground settlements using machine learning methods with small datasets

L Liu, W Zhou, M Gutierrez - Journal of Rock Mechanics and Geotechnical …, 2022 - Elsevier
Prediction of tunneling-induced ground settlements is an essential task, particularly for
tunneling in urban settings. Ground settlements should be limited within a tolerable …

Neural network based prediction of ground surface settlements due to tunnelling

CY Kim, GJ Bae, SW Hong, CH Park, HK Moon… - Computers and …, 2001 - Elsevier
Ground surface settlement due to tunnel excavation varies in magnitude and trend
depending on several factors such as tunnel geometry, ground conditions, etc. Although …

Prediction of Tunnelling-induced Settlement Using Gene Expression Programming

D Behnia, K Shahriar - ARMA US Rock Mechanics/Geomechanics …, 2015 - onepetro.org
The present study aims to apply intelligent method to predict settlement of tunnels. This
method can be used for settlement prediction of tunnel future levels. Many parameters affect …

[PDF][PDF] Prediction of tunnelling-induced surface settlement with artificial neural networks, case study: mashhad subway tunnel

H Mehrnahad, MK Zekrabad - Journal of Engineering Geology, 2018 - sid.ir
In urban areas, it is essential to protect the existing adjacent structures and underground
facilities from the damage due to tunneling. In order to minimize the risk, a tunnel engineer …

Predicting Tunnel-Induced Settlement in Cohesionless soils in Greenfield Condition

A El Naggar, M Youssef, H El Naggar - Transportation Geotechnics, 2023 - Elsevier
Rapid population growth and increasing congestion worldwide are placing greater demands
on existing infrastructure. A solution to this problem is the use of tunnels to construct …

[引用][C] Application of Neural Network for the Predication of Settlement above Tunnels

KM Neaupane, NR Adhikari - Engineering Journal of Research …, 2002 - ph02.tci-thaijo.org
This paper intends to predict settlement above tunnels with artificial neural networks. The
settlement is taken as a function of diameter, depth, and volume of soil loss, apart from soil …

Prediction of tunneling-induced ground movement with the multi-layer perceptron

KM Neaupane, NR Adhikari - Tunnelling and underground space …, 2006 - Elsevier
This paper presents a method to predict ground movement around tunnels with artificial
neural networks. Surface settlement above a tunnel and horizontal ground movement due to …