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      TRUSS -Training in Reducing Uncertainty in Structural Safety- Marie Curie

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      Science Impact, Ltd.

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          Abstract

          TRUSS (Training in Reducing Uncertainty in Structural Safety) is a Marie Sk?odowska-Curie Innovative Training Network (ITN) funded by the European Union under the Horizon 2020 Programme. The growth of cities, impacts of climate change and the massive cost of providing new infrastructure provide the impetus for TRUSS ITN, which aims to maximize the potential of infrastructure that already exists. If flaws in a structure can be identified early, the cost of repair will be vastly reduced, and here an effective monitoring system would allow identifying the optimum time to repair as well as improving structural safety. But safety is difficult to quantify and requires a deep understanding of the uncertainty associated to measurements and to models for the structure and the loads. In order to achieve this aim, fourteen Early Stage Researchers (ESRs) have been recruited to receive training and to carry out research in different individual projects. While developing tools that will reduce uncertainty in structural safety and improve infrastructure management, TRUSS ESRs will qualify for dealing with the challengues of an aging European infrastructure stock thereby meeting a critical need whilst at the same time enhancing their career prospects in both industria and academia.

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          Author and article information

          Journal
          Impact
          impact
          Science Impact, Ltd.
          2398-7073
          March 20 2018
          March 20 2018
          : 2018
          : 1
          : 64-66
          Article
          10.21820/23987073.2018.64
          240c296f-3b9a-4ab2-b161-5ead3347a539
          © 2018

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          History

          Earth & Environmental sciences,Medicine,Computer science,Agriculture,Engineering
          Earth & Environmental sciences, Medicine, Computer science, Agriculture, Engineering

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