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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


SAFE-10 T project participates in related SAFE STRIP project workshop

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Julie Clarke of Gavin & Doherty Geosolutions, Project Coordinator for SAFE-10-T, participates in workshop in Thessaloniki, Greece

Invitation to become reviewer for TRA 2018

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Reviews needed for scientific and technical papers

SAFE-10-T Linked In group now set up

First SAFE-10-T project newsletter now published

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Newsletter outlines overall approach and methodology

Tenth issue of FIRM magazine focuses on FEHRL Infrastructure Research Meeting 2017 (FIRM17)

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Issue also features end of H2020 USE-iT, REFINET and ECOROADS projects and beginning of SAFE 10-T and COEXIST projects

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