Among the important phenomena caused by tunnel excavations, the settlements on the ground surface can be mentioned, which are particularly important for shallow tunnels excavated in urban areas, and especially when passing under residential areas of cities. Numerous methods such as mathematical (numerical and analytical) ones can be used to predict surface settlement. This study was conducted aimed at using modern techniques such as artificial neural networks to analyze the parameters affecting the occurrence of surface settlement during forepoling tunnel excavation. Tabriz Subway project is a good opportunity to examine the effect of forepoling tunnel excavation the surface settlement in a granular soil with average groundwater level offer...
Abstract:- Several empirical and analytical relations exist between different tunnel characteristics...
Singapore is a highly urbanized and densely populated city with high-rise buildings and complex infr...
Ground settlement during and after tunnelling using TBM results in varying dynamic and static load a...
Ground movement control during tunnelling in urban areas has always been a key concern, as geotechni...
A series of artificial neural networks modelling was conducted to investigate the ground deformation...
With the development of society, the utilization rate of underground space is getting higher and hig...
Artificial neural networks have been used to analyze a number of engineering problems, including set...
Due to land shortage and rapid urbanization, most countries tap on underground resources to optimize...
Artificial neural networks have been used to analyze a number of engineering problems, including set...
Ground surface settlement trough associated to tunneling is characterized by two important parameter...
Ground surface settlement trough associated to tunneling is characterized by two important parameter...
Increasing demand on infrastructures increases attention to shallow soft ground tunneling methods in...
In the congested urban areas, tunnelling close to existing structures often occurs due to the lack o...
Abstract In the congested urban areas, tunnelling close to existing structures often occurs due to t...
AbstractIn this paper, the results of a parametric study on groundwater drawdown-induced surface set...
Abstract:- Several empirical and analytical relations exist between different tunnel characteristics...
Singapore is a highly urbanized and densely populated city with high-rise buildings and complex infr...
Ground settlement during and after tunnelling using TBM results in varying dynamic and static load a...
Ground movement control during tunnelling in urban areas has always been a key concern, as geotechni...
A series of artificial neural networks modelling was conducted to investigate the ground deformation...
With the development of society, the utilization rate of underground space is getting higher and hig...
Artificial neural networks have been used to analyze a number of engineering problems, including set...
Due to land shortage and rapid urbanization, most countries tap on underground resources to optimize...
Artificial neural networks have been used to analyze a number of engineering problems, including set...
Ground surface settlement trough associated to tunneling is characterized by two important parameter...
Ground surface settlement trough associated to tunneling is characterized by two important parameter...
Increasing demand on infrastructures increases attention to shallow soft ground tunneling methods in...
In the congested urban areas, tunnelling close to existing structures often occurs due to the lack o...
Abstract In the congested urban areas, tunnelling close to existing structures often occurs due to t...
AbstractIn this paper, the results of a parametric study on groundwater drawdown-induced surface set...
Abstract:- Several empirical and analytical relations exist between different tunnel characteristics...
Singapore is a highly urbanized and densely populated city with high-rise buildings and complex infr...
Ground settlement during and after tunnelling using TBM results in varying dynamic and static load a...