Reviews needed for scientific and technical papers
The SAFE-10-T project will develop a Safety Framework to ensure high safety performance while allowing longer life-cycles for critical infrastructure across the road, rail and inland waterway modes. Moving from considering critical infrastructure such as bridges, tunnels and earthworks as inert objects to being intelligent (self-learning objects) the SAFE-10-T project will provide a means of virtually eradicating sudden failures. This will be achieved by:
• The Safety framework will incorporate remote monitoring data stored in a BIM model that feeds into a decision support framework (DST) that enables decisions to be made automatically with maintenance prioritised for elements exhibiting stress.
• A major advance that will be achieved in the project is that the algorithms at an object level and at a network level will incorporate machine learning to train the system to evolve with time using available monitoring data.
• A trans-disciplinary approach with experts in Artificial Intelligence and big data management working with owners, engineers with expertise in risk and modelling and sociologists to make decisions.
• Our major European infrastructure managers will undertake demonstration projects at critical interchanges and nodes of the TEN-T transport network
Invitation to become reviewer for TRA 2018
SAFE-10-T Linked In group now set up
First SAFE-10-T project newsletter now published
Newsletter outlines overall approach and methodology
Tenth issue of FIRM magazine focuses on FEHRL Infrastructure Research Meeting 2017 (FIRM17)
Issue also features end of H2020 USE-iT, REFINET and ECOROADS projects and beginning of SAFE 10-T and COEXIST projects