Staff, researchers and post graduate students from University of Birmingham will provide a series of presentations on the interests, developments and work of the university in infrastructure asset management in the rail and highways sectors and including research into the use of digital twins for predicting defects in highway infrastructure.

A tour will also be provided of the National Buried Infrastructure Facility - a facility spanning research, innovation, education, CPD and training in buried infrastructure-ground interaction

https://www.birmingham.ac.uk/research/activity/ukcric/nbif/index.aspx.

Agenda

17.30 Light refreshments provided by University of Birmingham

18:00 Welcome

- Sam Beamish, IAM Midlands Branch Chair

18:05 Tour of the National Buried Infrastructure Facility

- A 'one of its kind' facility spanning research, innovation, education, CPD and training in buried infrastructure-ground interaction.

18.45 Introduction to Asset Management Research at the University of Birmingham

- Dr Mehran Eskandari Torbaghan, Lecturer, University of Birmingham

Introduction to the state-of-the-art research and capacity building initiatives on infrastructure asset management in various countries across the globe.

19.00 Railway Drainage Asset Management

- Nour Aljafari , PhD Candidate, University of Birmingham

A first of its kind, holistic data-driven framework to inform operations of railway and maintenance of our railway drainage system in a sustainable, risk-aversive, and cost-effective way.

19.10 Interaction between Road and buried infrastructure systems

- Reza Movahedifar, PhD Candidate, University of Birmingham

Introduction to an innovative machine learning based model to identify road defects caused by deteriorated buried infrastructure systems

19.20 Questions and Answers 1

19.30 Digital Twins for Roads; a Data- and Physics-based Model to Predict Road Condition

- Kun Chen, PhD Candidate, Universities of Birmingham and Nottingham

Introduction to an innovative data- and physics-based model for predicting road rutting as part of a Digital twin for road

19.40 Using Network-Level Digital Twins Support Cross-Asset Decision Making

- Jonathan Corker, PhD Candidate, Universities of Birmingham and Nottingham

Introduction to an innovative data- and physics-based model for predicting road defects involved in road safety as part of a Digital twin for road

19:50 Questions and Answers 2

20.00 Closing Remarks

- Sam Beamish, IAM Midlands Branch Chair

Location

In person

The University of Birmingham, Engineering Building, Room 127, Edgbaston, Birmingham B15 2TT

The Engineering Building (Y8) is a five-minute walk from the University railway station; click here for further location information.

Online

For those attendees joining online, this Event will be hosting on Microsoft Teams. Join via the link below. 

Microsoft Teams meeting

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