Long infrastructure tunnels: trends and challenges for the future

Marcher, T. (Speaker)

Activity: Talk or presentationPublic lecture or debateScience to science

Description

Digitalization will change the way of gathering geological data, the methods of rock classification as well as the application of design analyses in the field of tunnelling. Tunnel construction processes and tunnel maintenance will be influenced by this digital transformation as well. The talk takes the experiences with the recent (long) base tunnel projects through the European Alps into account. In the last years a rapid increase in the successful application of digital techniques (Building Information Modelling – BIM and Machine Learning - ML) for a variety of challenging tasks can be observed. Potential for ML is seen in the automatic rock mass behaviour classification utilizing tunnel boring machine (TBM) advance-data, in the update of geological prognosis ahead of the tunnel face and in the way of interpretation of monitoring results as well as in the way of inspecting and maintaining existing tunnels.
Period4 Dec 2019
Held atThe University of Tokyo, Department of Systems Innovation, Japan
Degree of RecognitionNational