When a tunnel boring machine (TBM) is applied to the tunnel constructed in the mixed-face
ground, the ground conditions ahead of tunnel face have a key impact on the operation …

The main focus of the present work is to offer an auto-tuning model, called cat swarm
optimization (CSO), to predict rock fragmentation. This population-based method has a …

Blasting of rocks has intrinsic environmental impacts such as ground vibration, which can
interfere with the safety of lives and property. Hence, accurate prediction of the …

The use of explosives is a common and economical method to fragment and/or displace
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …

Abstract In the Three Gorges Reservoir area (TGRA), landslides typically exhibit slow-
moving characteristic deformations in response to seasonal changes in precipitation and …

To design the tunnel excavations, the most important parameters are the engineering
properties of rock, eg, Young's modulus (E) and unconfined compressive strength (UCS) …

This study aims to identify the suitability of hybridizing the firefly algorithm (FA), genetic
algorithm (GA), and particle swarm optimization (PSO) with two well-known data-driven …

In this research, a new idea was implemented to combine different models of artificial
intelligence (AI) for evaluating the strength parameters of concrete samples in laboratory. To …

The geomechanical properties of rock, including shear strength (SS) and uniaxial
compressive strength (UCS), are very important parameters in designing rock structures. To …

The coalbed methane blocks are always structurally and topographically complex, and there
are no models to accurately predict the coalbed methane content in the southern Sichuan …