SENSKINProject reference: 635844
Funded under :
' SENsing SKIN' for Monitoring-Based Maintenance of the Transport Infrastructure (SENSKIN)
Total cost:EUR 3 883 041,63
EU contribution:EUR 3 883 041,63
Call for proposal:H2020-MG-2014_TwoStagesSee other projects for this call
Funding scheme:RIA - Research and Innovation action
Structural Health Monitoring (SHM) is expected to play a predominant role in the management of the transport infrastructure. Yet, SHM techniques continue to rely on point-based, as opposed to spatial, sensing requiring a dense network of these point-sensors increasing considerably the monitoring cost. Additionally, commercially available, strain sensors cannot measure strains beyond 1% to 2% and, thus, are not able to provide an alarm for an imminent catastrophe.
SENSKIN aims to:
(a) develop a dielectric-elastomer and micro-electronics-based skin-like sensing solution for the structural monitoring of the transport infrastructure that will offer spatial sensing of reversible (repeated) strains in the range of 0.012% to more than 10%, that requires little power to operate, is easy to install on an irregular surface, is low cost compared to existing sensors, allows simple signal processing and includes the ability of self-monitoring and self-reporting.
(b) use the new and emerging technology of Delay Tolerant Network to secure that strain measurements acquired through the 'sensing skin' will reach the base station even under extreme environmental conditions and natural disaster events such as, high winds or an earthquake, where some communication networks could become inoperable.
(c) develop a Decision-Support-System for proactive condition-based structural intervention under operating loads and intervention after extreme events. It will be based on an accurate structural assessment based on input from the strain sensors in (a) above and will examine the life-cycle economic, social and environmental implications of the feasible rehabilitation options and the resilience of the infrastructure to future changes in traffic demand that these options offer.
(d) implement the above in the case of bridges and test, refine, evaluate and benchmark the monitoring system (integrated a and b) and package (integrated a, b and c) on actual bridges.
EU contribution: EUR 501 750
Patission Str. 42
EU contribution: EUR 569 687,5
AM NEUEN PALAIS 10
EU contribution: EUR 186 000
CHLM THESSALONIKIS-THERMIS 6
EU contribution: EUR 335 625
Krumme Strasse 55
EU contribution: EUR 361 875
VIA PANAMA 86A
EU contribution: EUR 265 159,75
PANEPISTIMIOUPOLI RECTORATE BUILDING
EU contribution: EUR 284 968,75
EL VENIZELOU 7
EU contribution: EUR 326 625
EU contribution: EUR 536 375
Crowthorne House Nine Mile Ride
RG40 3GA WOKINGHAM BERKSHIRE
EU contribution: EUR 45 200
PEREMOGY AVENUE 57
EU contribution: EUR 143 838,13
Boulevard de la Woluwe 42
EU contribution: EUR 258 750
BAUTZNER LANDSTRASSE 45
EU contribution: EUR 67 187,5
INONU BULVARI 14
06100 YUCETEPE ANKARA