IAPP - Industry – Academia Partnership and Pathways ISMS Mid Term Review Meeting

1. IAPP - Industry – Academia Partnership and Pathways • ISMS • Mid Term Review Meeting • Location: AalborgDate: Friday, 8 June 2012 EC Project Number 251515 Contract Starting Date 01-09-2010

2. Agenda • 0900 - 0915           Introduction : Short introduction by the Project Officer and the Coordinator. • 0915 - 1015           Coordinators Report • 1015 - 1100           Tour de Table: Each scientist in charge presents their research team • Laurent Mevel, INRIA • Carlos Ventura, UBC • Palle Andersen, SVS • 1100 - 1130           Coffee Break • 1130 - 1300           Selected Individual Reports. • Laurent Mevel, INRIA (also on behalf of Michael Döhler) • Carlos Ventura, UBC • Henrik Vollesen, SVS • Palle Andersen, SVS • 1300 - 1400           Lunch at NOVI • 1400 - 1500           Meeting between the Fellows and the Project Officer. • Laurent Mevel, INRIA • Carlos Ventura, UBC • Henrik Vollesen, SVS • Palle Andersen, SVS • 1500 - 1700           Open Discussion: This discussion will conclude the meeting by summarizing the output of the Network so far and the planning for the continuation of the project.

3. Coordinators Report - Agenda • Scientific • Transfer of Knowledge & Networking • Management • Impact

4. Scientific

5. Project Objectives • 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. • 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. • Create a progressive damage monitoring system for damage assessment enabling the development of an internet-based SHM system to monitor hundreds of bridges autonomously.

6. Scientific Highlights WP1:Developing damage detection algorithms for large scale systems under temperature change. Main results achieved: • Identification and detection techniques have been developed and implemented either in Matlab or in C++. • Development of a new fast subspace-based system identification from sensor data. • For the identification of large structures, further efforts have been done for a modular system identification approach using multipkle measurement setups. • For system identification, the considered subspace algorithms are based on time domain data. • New fast algorithms have been developed in order to evaluate modal parameters for damage detection. • A control chart based approach has been implemented in order to compare modal parameters obtained from different structural states. • For damage detection, new faster computation of modal parameters has been achieved. • A new variant of the damage detection algorithm has been developed and implemented, which is more robust to changing excitation. • FINISHED

7. WP1: The new fast subspace-based system identification Example from a real structure: • Conventional implementation: 52 minutes. • New fast implementation: 43 seconds. Algorithm implemented in MATLAB by INRIA and in C++ by SVS in their software package ARTeMIS Extractor.

8. WP1: Confidence Interval Computation • Confidence intervals of all identified modes • A threshold set on the confidence interval, to filter out modes with too high uncertainty. Algorithm implemented in MATLAB by INRIA and will be implemented in C++ by SVS in their software package ARTeMIS Extractor.

9. WP1: Control Chart for Damage Detection • Input: damage detection features in the reference and possibly damaged structure • Output: threshold for damage detection and alarm when crossing the threshold Algorithm implemented in MATLAB by INRIA and in the ISMS Web Site by SVS. When threshold is crossed by a new result an alarm is issued.

10. WP1: Statistical Damage Detection under Temperature Variation • Input: vibration data of a structure in reference state (in learning phase) and new data (in testing phase) • Output: threshold for the reference state, damage indicator value Algorithm implemented in MATLAB by INRIA and in the ISMS Web Site by SVS. Integrated with other results in the control chart .

11. WP1: Statistical Damage Detection under Changing Excitation • Input: vibration data of a structure in reference state (in learning phase) and new data (in testing phase) • Output: threshold for the reference state, damage indicator value Algorithm implemented in MATLAB and checked by simulations by INRIA. Will be tested by SVS/UBC .

12. Scientific Highlights WP2: Damage localization in the presence of temperature variations Main results achieved: • Damage localization algorithm has been implemented and sucessfully tested using a large scale FEM model. • The preformance of the localization approach was increased by a different stastical test using a rejection approach. • An alternative to using a FEM was explored by using mass-normalized mode shapes. • Damage localization vectors approach was implemented. • Finished from INRIA’s side and await an implementation with ISMS Web Site (C++ coding). • 3 months behind schedule with work package.

13. WP2: Statistical Damage Localization with and without Rejection Approach • Input: vibration data of a structure in reference state and damaged state; modal parameters in the reference state; structural parameters that are monitored; sensitivity matrix of modal parameters wrt. structural parameters. • Output: Damage indicator value for each structural parameter. Damage indicator values for damage localization at different elements of a structure (damage occurred at element 2). Left: Statistical damage localization, Right: Statistical damage localization with rejection approach. Algorithm implemented in MATLAB and checked by simulations by INRIA. Will be tested by SVS/UBC .

14. WP2: SDDLV Damage Localization with Confidence Bounds on Residuals • Input: vibration data of a structure in reference state and damaged state; modal parameters in the reference state; FEM of the structure (M, C, K) in reference state; coordinates of the sensor positions wrtFEM. • Output: Damage indicator value for each finite element and its uncertainty bound. Stress Values – Real Part Stress Values – Imag. Part Chi Scare Test of Elements .

15. Scientific Highlights WP3: Damage quantification in the presence of temperature variations • First attempts have been made to extend the damage localization approach from WP2 to damage quantification. • Theory is in place, awaits WP4 integration with FEM for testing on real data. • On time with work package.

16. Scientific Highlights WP4: Large scale feasibility study of damage approach. • Several different damage detection algorithms are being developed as well as the Control Chart method. • Detailed FEM of the bridges are developed using the SAP2000 software (Structural Analysis Program). • The FEMtools program has been purchased and installed on a server. • The FEM is being updated simultaneously as the data become available in database using the software FEMtools. • The updated-FEM is being used to detect the location, and the extent of the damage in the structure. • Some relevant simulations and experimental studies that have been performed. • FE Updating in FEMtoolsimplemented for a test station at UBC. • Script linking FEMtools and SAP2000 FE model are being developed for the two bridges in Vancouver. • On time with work package.

17. Scientific Highlights WP5: Efficient transport of large quantities from many computers over the internet. • Development of a transport platform for transporting data from many satellite stations (bridges) to a central server system. • 80 % finished. Awaits review from an external recruitment and possible improvements.

18. Scientific Highlights WP7: WEB portal mapping monitored bridges and their conditions. • Preliminary version (Beta 1) of the Web Portal

19. Transfer of Knowledge & Networking

20. The consortium Coordinator SVS – Structural Vibrations Solutions (SME) Partner 2 INRIA - Institut National de Recherche en Informatique et en Automatique (RTD) Partner 3 UBC - The University of British Columbia (RTD)

21. Partner presentations • Coordinator - SVS - Founded in 1999 - Spin-off company from Aalborg University, Department Building Technology and Structural Engineering - Ten years of software development experience. - Main product of the company: ARTeMIS Extractor - software for Operational Modal Analysis (OMA). - The only company today holding a patent on an OMA algorithm. • Partner 2 - INRIA -Research in information and communication science and technology (ICST). - Development of the ScilabCosmad toolbox -Focused on developing statistical methods for structural vibration monitoring. • Partner 3 - UBC - Established in 1908 - One of the world's great public universities - Highly engaged in world-leading research in Structural and Earthquake Engineering.

22. Team • To introduce names/photos of all the people involved in the project by partner

23. Carlos E. Ventura • Ph. D. in Structural Engineering, Rice University, Houston, TX, USA, 1985 • Director of Earthquake Engineering Research Facility, University of British Columbia, Canada, since 1992 • Author of more than 350 articles & papers • Areas of Research • Earthquake Engineering • Structural Dynamics • Experimental Modal Analysis • Dynamic behavior of Civil Engineering Structures • Structural Health Monitoring

24. Yavuz Kaya

25. Laurent Mevel

26. Michael Döhler

27. Henrik Vollesen

28. Palle Andersen • Ph. D. in Structural Dynamics, Aalborg University, Denmark, 1997 • Managing Director & co-owner of SVS • Creator of ARTeMIS Extractor software

29. Secondment and Recruitment Overview

30. Secondment Implementation • The secondments of MD, HV took place. HV’s secondment took the duration of 6 months, taking 1 month from PA. • LM is presently seconded at SVS for two months. • The secondment of CV is delayed because of problems getting his work permit in Denmark. Envisaged starting date of CV's secondment is expected to be 15thJune. • PA’s secondment is delayed due to personal reasons. • The consortium is aware of the delays on secondments and are taking all possible measures in order not to affect the deliverables of the project, namely: regular skype meetings to discuss the status of the project.

31. Recruitment Implementation • The recruitment of an ER is ongoing. The vacancy at Euroaxess has been published early March 2012 but a suitable candidate has not been found yet. Candidates either does not comply with the EC rules or does not have the required qualifications. • At the moment the consortium is using their own network in order to find an elegible ER. • The activities planned to be performed by recruited researchers was not affected by such delay and did not have any impact in the progress of the project. So far the most necessary programming has been made by Henrik Vollesen and Palle Andersen.

32. Management

33. Project Management • European Commission - Technical Officer Consortium Management Coordinator Knowledge Transfer Manager Steering Committee (SC) All Consortium Members

34. Project Management – Main Tasks • Provide all detailed data requested by the REA or the EC for the purposes of the proper administration of the project. • Take all measures to ensure that the project is carried out in accordance with the terms and conditions of the GA. • Ensure efficient implementation of the project. • Administration and distribution of financial contribution of the EU.

35. Technical Meetings

36. International Events/Papers

37. International Events/Papers

38. Financial Aspects Pre-financing of 60% of EC contribution: € 290.972 First year: €132.770 . Distribution among the partners: SVS: € 75.770; INRIA: € 57.000; UBC: € 0. Second year (9 months) : € 30.786. Distribution among the partners: SVS: € 26.786; INRIA: € 4.000; UBC: € 0.

39. Financial Aspects

40. Financial Aspects • EC Contribution Original Budget

41. Financial Aspects EC Contribution Budget deviations Y1 - Y2

42. Financial Aspects • Budget according to the current version of the TOK Plan (insert table)

43. Financial Aspects • External Recruitment • 11 from a Danish Job Portal

44. Exploitation Principles • ISMS is a research project • No exploitation plan is drafted yet • Any exploitation plan – if needed – will be drafted outside of ISMS • Exploitation plan will be decided on a partner basis according the guidelines of each lawyer partner • SVS and Inria have already an agreement, which will be amended • CARLOS / PALLE Add more

45. Impact

46. Impact for INRIA High visibility for I4S project Impact on researchers mobility CV Has increased technology transfer Between INRIA and SVS Same is expected for UBC PhD prize for Michael Döhler in U. Rennes (special prize for transfer)

47. Cooperation between partners UBC INRIA SVS

48. Cooperation between partners • Lasting collaborations, complimentary skills acquisition. • UBC – knowledge acquired/developed • INRIA – knowledge acquired/developed • SVS – knowledge acquired/developed

49. Thank you