Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

Due to the lack of living space and the increase in population, there has been a construction
boom in the underground space to improve the quality of human life. Tunnel engineering …

The inherent spatial variability of soil properties is the main sauces of uncertainties in the
site investigation, and it is commonly characterized using random field theory. In the context …

This study utilizes the support vector regression (SVR) model to predict the tunnel crown
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …

Tunnel boring machines are widely used to construct underground rail networks in urban
areas. However, ground settlement due to complex geological conditions is an ever-present …

Spalling is a typical brittle failure phenomenon of hard rock in deep caverns under high
geostress. In this study, key issues are systematically studied concerning the spalling failure …

Understanding the stress distribution and failure characteristics around a U-shaped cavern
is vital to the stability analysis of rock structures such as tunnels and roadways. In this study …

The scale of fluctuation (SOF) is the critical parameter to describe the soil spatial variability,
which significantly influences the embedded geostructures. Due to the limited data in the …

In blasting operations, the main purpose is to provide appropriate rock fragmentation and to
avoid adverse effects such as flyrock and vibration. This paper presents the applicability of …

Constructing multiple-barrier systems is efficient in mitigating flow-like geological hazards
and potentially serves as an optimal solution to protect the heavily threatened …