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NDT.net Issue - 2016-08 - Articles
NDT.net Issue: 2016-08
Publication: 8th European Workshop on Structural Health Monitoring (EWSHM 2016), July 5-8, 2016 in Bilbao, Spain (EWSHM 2016)
Session: New concepts and sensors based on micro and nanotechnologies

Skin-like Sensor Enabled Bridge Structural Health Monitoring System

Konstantinos Loupos1, Angelos Amditis1, Athanasia Tsertou1, Yannis Damigos1, Reimund Gerhard2, Dmitry Rychkov2, Werner Wirges2, Vassilis Kalidromitis3, Stephanos Camarinopoulos4, Sotirios Lenas5, Vassilis Tsaoussidis5, Athanasios Anastasopoulos620, Katrin Lenz7, Sarah Schneider7, Mike Hill8, Adewole Adesiyun9, Bernd Frankenstein1031
1Institute of Communication and Computer Systems, Athen, Greece
2Universität Potsdam3, Potsdam, Germany
3Tecnic Research and Development; TECNIC Spa, Rome, Italy
4RISA Sicherheitsanalysen GmbH, Berlin, Germany
5Democritus University of Thrace3, Komotini, Greece
6Mistras Group Hellas ABEE36, Athens, Greece
7University of Stuttgart285, Stuttgart , Germany
8TRL Limited4, Crowthorne, United Kingdom
9Forum Des Laboratoires Nationaux Eropeens De Recherche Routiere, Brussels, Belgium
10Teletronic Rossendorf GmbH, Bautzner, Germany

Abstract: Structural Health Monitoring (SHM) has an important role in the management of transport infrastructure. However, most SHM techniques are based on data obtained from dense networks of point-based sensors (rather than sparse networks of spatial sensors) and so, in relative terms, they are costly to implement. Furthermore, most commercially available strain sensors have a limited maximum range - typically 1% to 2% - and are not well-suited to providing information of a severe loss of structural integrity (following eg an earthquake). The SENSKIN project develops a dielectric-elastomer and micro-electronics-based skin-like sensor, based on the use of a large highly extensible capacitance sensing membrane and advanced micro-electronic circuitry, for monitoring transport infrastructure - such as bridges. The sensor will provide spatial measurements of strain of more than 10% and is being designed to (a) require low power to operate, (b) be easy to install (c) have a comparable or lower cost than conventional strain sensors, (d) allow simple signal processing, and (e) have the ability to self-monitor and self-report. The system will support the new and emerging technology of Delay/Disruption-Tolerant Networking to secure that strain measurements acquired will reach the base station even under extreme conditions where communications may be disrupted. SENSKIN also includes the development of a Decision-Support-System (DSS) for (a) proactive condition-based structural interventions under normal operating conditions, (b) reactive emergency intervention following an extreme event. In assessing potential rehabilitation options, the DSS will use the data supplied by the SENSKIN sensors (and, potentially, supplementary/secondary instruments) together with advanced structural analysis models, whilst taking account of the lifecycle economic, social and environmental implications. The new sensor will undergo laboratory calibration and environmental tests using small and large steel and concrete specimens. The overall monitoring system will be evaluated and benchmarked on actual bridges of Egnatia Highway (Greece) and Bosporus Bridge (Turkey). This paper describes the concept and principles of the SENSKIN sensing system, and its various components. Particular attention is given to end-user requirements and how these relate to the specification and architecture of the system.

Keywords: Other Methods (1134), embedded sensor (80), civil engineering (1026), Lifetime Management (54), energy harvesting (19), Wireless sensors (24), strain sensor (4), bridge monitoring (8), srtuctural health,
*Keywords are freely formed keywords from the authors and thus you may Search also for similar terms.


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