The TRUSS ITN project (2015-19): a Marie Skłodowska-Curie innovative training network on reducing uncertainty in structural safety

Title: The TRUSS ITN project (2015-19): a Marie Skłodowska-Curie innovative training network on reducing uncertainty in structural safety
Authors: González, Arturo
Permanent link: http://hdl.handle.net/10197/9544
Date: 30-Aug-2018
Abstract: The structural deterioration of aging structures is often aggravated by an increase in loads that were not foreseen at the design stage and an insufficient maintenance spending as a result of the economic downturn of recent years. A management strategy guaranteeing structural safety with the best use of the resources available is clearly needed. TRUSS (Training in Reducing Uncertainty in Structural Safety, http://trussitn.eu/, 2015-2019) is a €3.7 million Marie Skłodowska-Curie innovative training network funded by the European Horizon 2020 Research and Innovation Programme, with the main objectives of: (1) carrying out research that will ensure structural safety levels for buildings, energy and transport infrastructure, and (2) providing training to a new generation of researchers for dealing with an aging infrastructure stock. The network is composed by 6 Universities, 11 companies and 1 research institute from 5 European countries, joining forces to identify, quantify and reduce uncertainties associated to the structural response, to the imposed loads, and to the probability of structural failure.
Funding Details: European Commission Horizon 2020
Type of material: Conference Publication
Publisher: CERAI
Keywords: Structural safetyITNMarie Skłodowska-CurieInfrastructureDoctoral training
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of the Civil Engineering Research In Ireland Conference (CERI 2018)
Conference Details: The 2018 Civil Engineering Research in Ireland Conference (CERI 2018), Dublin, Ireland, 29-30 2018
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection

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