FP7Staff exchange2010–2014

ISMS · Internet-based Structural Health Monitoring System

FP7 — People (Marie Curie Actions)

Duration
2010-09-01 → 2014-08-31
EU contribution
€484,954
Participants
3
Scheme
MC-IAPP

Lines connect the coordinator with its partners. CORDIS does not always give exact coordinates for projects before 2014. These points are placed at city or country level.

Results in brief

Internet-based Structural Health Monitoring System

ISMS aimed to address the significant commercial opportunity and rapidly emerging technological potential of improved Damage Detection or Structural Health Monitoring (SHM) technologies for large-scale civil infrastructure by challenging significant and non-trivial, inter-disciplinary and intersectoral barriers currently preventing industrial application and take-up of these technologies. The principal strategic objective of ISMS was joint design and development of a fully automated internet-based damage detection procedure robust to environmental changes with application to fully instrumented large-scale civil infrastructures, primarily bridges. Recent advances in sophisticated monitoring devices; the miniaturization and cost reductions of computing hardware as well as novel data analysis procedures hold significant potential with respect to cost effective, condition-based maintenance philosophies as well as damage detection and mitigation after major seismic events. Through an objective-driven transfer of knowledge (ToK) programme between industry and academia, ISMS took a necessary integrated approach, according to which state-of the art (SOA) scientific knowledge based on data interrogation algorithms and vibration-based structural damage identification was coupled with industrial knowledge of market applications and exploitation routes. ISMS advanced existing SOA within the areas of algorithm development, data processing and interfaces. A progressive damage monitoring system for damage assessment was created, enabling the development of an internet-based SHM system to monitor hundreds of bridges autonomously. Furthermore, large amounts of complex data were translated into key imperatives, to allow the display of information on e.g. safe routes out of the emergency area. ISMS researched, characterized, and modeled a number of technological concepts and algorithms with respect to their potential for SHM of Bridges. The algorithms and concepts were subsequently subjected to analytical and experimental investigations – and their implications for data processing were evaluated and optimized. Finally, the two research tracks on algorithms and data processing were brought together in work on interfaces and applications. Due to the complexity of the internal architecture and design of the concepts, these were integrated horizontally through a multidisciplinary framework and extensive ToK activities involving disciplines such as structural dynamics operational modal analysis, software architecture and computing. The project objectives and results offers strong intersectoral and interdisciplinary coupling between, on the one hand, identification-based methods with up-to-date information on the structure - and, on the other hand, statistical damage detection techniques with strong theoretical background, communicating within a test platform on the instrumented structure. The approach was validated on both some large scale and complex numerical models and on an ambitious and rigorous experimental setup, thus demonstrating its potential industrial transfer. The project achieved most of its objectives and technical goals. The main substantive deliverable and result of the project is the commercial software package ARTeMIS and its modules. For more information on the project please contact Palle Andersen from SVS - http://www.svibs.com/.

Data: CORDIS, © European Union

Project objective

Structural health monitoring (SHM) and non-intrusive damage detection techniques have become important research topics - motivated by the potential life-safety and very large potential economic impact of the technologies with respect to their earthquake/ disaster mitigation potential and their role as key enabling technology of condition-based maintenance practices. The potential to save thousands of civilian lives and billions of Euros currently drives efforts in mainly Asia and North America. ISMS – a collaborative effort between a Danish SME within vibration technologies in combination with two research organizations, French INRIA and Canadian UBC – aims to build a long-term partnership around the development of web-based damage detection procedures applied to instrumented civil infrastructures, which are robust to environmental changes. The innovation lies in the coupling of identification-based methods on one side, and statistical damage detection techniques on the other side – both elements communicating on a single platform on the structure. Progress within SHM research is currently hampered by the inter-disciplinary and intersectoral barriers posed by scientific fragmentation and a disproportionate emphasis on instrumentation aspects. The IAPP program is chosen as an ideal vehicle to overcome the barriers to integration: ISMS proposes the secondment of 6 researchers over a total of 28 months; the recruitment of one experienced capacity for 18 months; and accompanying networking activities. The project has the potential to develop an extended European research community of world-leading capability within SHM of civil infrastructures. The impact is foreseen not only due to the achievement of scientific project results – but through the project’s positive impact on individual research capability; the significant commercial impact and incentives; the network integration and transfer of knowledge and results within and beyond the consortium.

Original text from CORDIS.

Participants

  • STRUCTURAL VIBRATIONS SOLUTIONS A/S · AALBORGCoordinatorCity levelDenmark
  • INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE · Le Chesnay CedexFrance
  • UNIVERSITY OF BRITISH COLUMBIA · VANCOUVERCanada

Links

Data: CORDIS, © European Union