[HTML][HTML] Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence

J Loy-Benitez, MK Song, YH Choi, JK Lee… - Automation in …, 2024 - Elsevier
Advances in tunnel boring machines (TBM) have leveraged applied artificial intelligence to
promote sustainable and automatic tunneling construction. This paper highlights the …

Reinforcement learning for the face support pressure of tunnel boring machines

E Soranzo, C Guardiani, W Wu - Geosciences, 2023 - mdpi.com
In tunnel excavation with boring machines, the tunnel face is supported to avoid collapse
and minimise settlement. This article proposes the use of reinforcement learning, specifically …

[HTML][HTML] Towards reinforcement learning-driven TBM cutter changing policies

TF Hansen, GH Erharter, T Marcher - Automation in Construction, 2024 - Elsevier
Optimizing the cutter changing process for tunnel boring machines (TBMs) is crucial for
minimizing maintenance costs and maximizing excavation efficiency. This paper introduces …

Digitally Empowered Geo-Engineering Toolbox: From AI-Driven Lab Data Interpretation, BIM Ground Modelling to Parametric Design

GH Erharter - International Conference on Inforatmion Technology in …, 2024 - Springer
For over 30 years, digital advancements have transformed the world, and geoengineering is
no exception. From readily available aerial data to machine learning-powered soil analysis …

Digital twin and AI enabled predictive maintenance in building industry

W Hu - 2024 - dr.ntu.edu.sg
The rapid advancement of information and communication technologies (ICT) and artificial
intelligence (AI) has catalysed a significant shift in maintenance practices within the building …