The construction of metropolises in smart cities is the trend of developed countries.
However, it may cause damages to the surrounding structures. For this reason, the …

This paper proposes a convolution neural network (CNN) based prediction method for
concrete diaphragm wall (CDW) deflections. CNN algorithm is modified for processing the …

Deep excavation during the construction of underground systems can cause movement on
the ground, especially in soft clay layers. At high levels, excessive ground movements can …

In a deep braced excavation, wall deflection plays an important role in its safety and also
adjacent buildings. However, most of previous studies focused on predicting wall deflection …

An artificial neural network (ANN)-based approach for predicting deflection of diaphragm
walls caused by braced excavation in soft to medium clays is presented in this study. Five …

Diaphragm wall deflection is an important field measurement in deep excavation. The
monitoring data are applied to evaluate the construction performance to avoid a supporting …

In this paper, a new method in forecasting the horizontal displacement of diaphragm wall
(DW) for high-rise buildings is introduced. A new stochastic optimizer, called Planet …

This study proposes a risk analysis model based on the Bayesian network for diaphragm
wall deflection to ensure safety during excavation. Compared with the traditional methods …

This paper adopts the NGI-ADP soil model to carry out finite element analysis, based on
which the effects of soft clay anisotropy on the diaphragm wall deflections in the braced …

One of the common excavation methods in the construction of urban infrastructures as well
as water and wastewater facilities is the excavation through soldier pile walls. The maximum …