Research master / potential PhD CERN tunnel project

350983844UID: 3726781

Project title:  CERN Tunnel Infrastructure Monitoring and Deterioration Detection using Machine Learning

Supervision team: Zili Li (UCC) and John Osborne (the European Centre for Nuclear research (CERN))

Project description:

Recent advance in Information and Communications Technology (ICT) has great potential to optimise structural health monitoring in a smarter manner. This project aims to use innovative Distributed Fibre Optic Sensing (DFOS) and machine learning approach for monitoring ageing tunnel infrastructures at European Centre for Nuclear research (CERN), where 27 kilometres of deep tunnels were excavated decades ago lined with spray shotcrete in a weak sedimentary rock. The innovative structural health monitoring methods will evaluate the tunnel serviceability for particle collision testing in Large Hadron Collider (LHC), and meanwhile may potentially reveal long-term soil-tunnel interaction mechanism in a greater depth than conventional methods for the optimization of tunnel design and maintenance.

Position Description: This Research Master / potential PhD full-time position is funded through the new Geohazard and Geotechnical Engineering spoke of Irish Centre for Research in Applied Geosciences (iCRAG). The successful candidate will be registered at University College Cork, starting as soon as possible in early June 2019. The stipend is