Training in Reducing Uncertainty in Structural Safety

Objective

The growth of cities, impacts of climate change and the massive cost of providing new infrastructure provide the impetus for this proposal – entitled Training in Reducing Uncertainty in Structural Safety (TRUSS) – which will 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 models for the structure and the loads. TRUSS will gather this understanding by bringing together an intersectoral and multidisciplinary collaboration between 4 Universities, 11 Industry participants and 1 research institute from 6 European countries. The consortium will combine and share expertise to offer training at an advanced level as new concepts for monitoring, modelling and reliability analysis of structures are emerging all the time. TRUSS will make knowledge of structural safety grow by incorporating these emerging technologies (hi-tech monitoring and manufacturing, computing, etc.) into the training programme and it will support job creation by enabling a wider talent pool of skilled and accredited engineering graduates with business, entrepreneurship, communication, project management and other transferrable skills. The training programme will be structured into taught modules combined with original research supported by secondments that will expose 14 fellows to both academia and industry. While developing tools that will reduce uncertainty in structural safety and improve infrastructure management, TRUSS will lay the basis for an advanced doctoral programme that will qualify graduates for dealing with the challenges of an aging European infrastructure stock, thereby enhancing their career prospects in both industry and academia.

Field of science

/engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/robotics/autonomous robots/drones
/natural sciences/computer and information sciences/data science/data processing
/engineering and technology/environmental engineering/energy and fuels

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Coordinator

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN

Address

Belfield
4 Dublin
Ireland

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 797 023,80

Objective

Field of science

Programme(s)

Topic(s)

Call for proposal

Funding Scheme

Coordinator

Participants (8)

Partners (7)

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