Realistic 3D simulations of the tunnelling process are increasingly required to investigate the interactions between machine-driven tunnel construction and the surrounding soil in order to provide reliable estimates of the expected settlements and associated risks of damage for existing structures, in particular in urban tunnelling projects. To accomplish the step from large-scale computational...

Personal 8-h shift exposure to respirable dust, diesel engine exhaust emissions (DEEE) (as respirable elemental carbon), and respirable crystalline silica of workers involved in constructing an underground metro railway tunnel was assessed. Black carbon (BC) concentrations were also assessed using a MicroAeth AE51. During sprayed concrete lining (SCL) activities in the tunnel, the geometric mea...

As the main cutting tool of Tunnel Boring Machine (TBM) for rock-breaking, rock-breaking efficiency TBM disc cutters directly affects TBM’s boring speed, which in turn overall progress tunnelling project. Therefore, a simple and accurate evaluation method is an essential prerequisite to improve performance TBM. In this paper, classical force prediction equations were summarized applicability ea...

Tunnel Boring Machines (TBMs) are used for tunneling and underground construction, by excavating material subsequently installing a segmental concrete tunnel liner support. However, unknown ground conditions pose significant risk to operations any damage the machine can be disastrous project. There is need tools which look ahead of TBM potential hazards during tunneling, such as water saturated...

Purpose. One of the most common problems in mechanized excavation is cutting tool wear, which has a great impact on final cost project and its duration. Also, one important factors affecting wear tools operating parameters tunnel boring machine (TBM). Within framework this research, laboratory simulator was designed constructed to investigate process laboratory. Methods. A few features device a...

Introduction: The application of intelligent learning methods to the mining characteristics and rules time-series data has gained increasing attention with rapid development deep learning. One critical such is assistant driving tunnel boring machines (TBMs), for which optimization parameters essential improve construction efficiency. However, existing prediction models TBM are “static” cannot d...

The construction of tunnels in densely populated urban areas poses a significant challenge terms anticipating the settlement that may result from tunnel excavation. This paper presents new and more realistic modeling method for excavation using Tunnel Boring Machine (TBM). is compared with other reference methods validated model subsurface excavated by TBM slurry shield. A parametric study cond...