The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …

Subsoil profile mapping is typically based on spatially discrete borehole logs obtained from
site geotechnical investigations. During the mapping, soil information between two …

The trend for digitalization in geotechnics and tunnelling of the past decade has been
spearheaded by developments in building information modelling (BIM) within these …

The deformation and strength characteristics of rocks are crucial for the effective
development of underground resources and the construction of underground engineering …

Tunnel construction is a complex technology, with a huge number of effective parameters,
which cannot be accurately analyzed/designed using empirical or theoretical methods. With …

Abstract The New Austrian Tunnelling Method (NATM) tunnel design is performed by testing
support classes against the geological profile. We propose to replace this manual process …

Prediction of machine performance is a fundamental step for planning, cost
estimation/control and selection of the machine type when using a tunnel boring machine …

Reinforcement learning (RL)-a branch of machine learning-refers to the process of an agent
learning to achieve a certain goal by interaction with its environment. The process of …

This research aims to enhance the classification of the rock mass in underground mining, a
common problem due to geological alterations that do not fit existing methods. Artificial …

Accurate cost estimation in tunneling is key to the project's success. Such information is
critical for the early conceptual and design phases when key choices must be made …