Integrated seismic early warning and structural health monitoring of critical civil infrastructures in seismically prone areas

Abstract

A large part of Europe is exposed to medium/high seismic risk. Throughout the past decades serious structural damage and collapse have occurred in different countries. Examples of structures at risk are existing infrastructure and public buildings. Efficient seismic protection is especially required in these structures. In fact, an earthquake can lead to a high number of injury or death since these structures are often crowded. On the other hand, strategic structures have to be fully operational to manage the aftershock emergencies. This article deals with some results of a research focused on the development of optimized structural health monitoring (SHM) technologies and data processing techniques for critical structures in seismically prone areas. Specific solutions are proposed to take advantage of seismic early warning systems (SEWSs), which are becoming very popular and effective worldwide. The most relevant aspects of seismic early warning (SEW) and SHM systems are herein reviewed and the main issues related to their integration are discussed in order to properly design the final system. Attention is mainly focused on dynamic behavior in operational conditions and on earthquake effects. Hardware and software solutions adopted for the characterization and monitoring of the dynamic response of a sample building are illustrated pointing out the capability of the same architecture to host data and information provided by SEW applications. Finally, datasets in operational conditions are used to evaluate the fundamental modal parameters of the structure by output-only techniques, whose potentialities and limitations in the presence of weakly and heavily nonstationary signals have been also assessed. In particular, they have been applied, respectively, to the records collected during crowded football matches hosted at the stadium located nearby the sample building and during the recent L’Aquila earthquake mainshock.

Keywords

structural health monitoring operational modal analysis dynamic identification seismic early warning

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References

Consiglio Superiore dei Lavori Pubblici. Nuove Norme Tecniche per le Costruzioni, D.M. Infrastrutture 14/01/ 2008, published on S.O. n. 30 at the G.U. 04/02/2008 n. 29 (in Italian).

fib Bulletin 39. Seismic bridge design and retrofit - structural solutions. State-of-art report (300 pages, ISBN 978-2-88394-079-6, May 2007).

fib Bulletin 27. Seismic design of precast concrete building structures. State-of-art report (262 pages, ISBN 978-2-88394-067-3, January 2004 ).

The State of Earthquake Engineering research in Italy: the Reluis-DPC 2005-2008 Project. Doppiavoce, 2009 (ISBN 978-88-89971-14-4).

Mufti A. Guidelines for structural health monitoring. ISIS Canada University of Manitoba, 2001.

Aktan AE , Ciloglu SK , Grimmelsman KA , Pan Q. , and Catbas FN Opportunities and challenges in health monitoring of constructed systems by modal analysis. In: Proceedings of the International Conference on Experimental Vibration Analysis for Civil Engineering Structures, Bordeaux, France, 2005.

Lynch JP and Law KH Energy market-based control of linear civil structures. In: Proceedings of the US-Korea Workshop on Smart Structural Systems, Pusan, Korea , 2002.

Fabbrocino G. , Laorenza C. , Rainieri C. , and Santucci De Magistris F. Seismic monitoring of structural and geotechnical integrated systems. In: Proceedings of the 2nd Asia Pacific Workshop on Structural Health Monitoring, Melbourne, Australia (peer reviewed), 2008.

Rainieri C. , Fabbrocino G. , and Cosenza E. Integrated systems for structural health monitoring: worldwide applications and perspectives. In: Proceedings of the 4th European Workshop on Structural Health Monitoring, Cracow, Poland, 2008.

10.

Mita A. , Inamura T. , and Yoshikawa S. Structural health monitoring system for buildings with automatic data management system In: Proceedings of the 4th International Conference on Earthquake Engineering, Taipei, Taiwan, 2006.

11.

Seim C. and Giacomini MG Instrumenting the Golden Gate Bridge to record seismic behaviour and to deploy rapid inspection response . In: Proceedings of the 12th World Conference on Earthquake Engineering, Auckland, New Zealand, 2000.

12.

Liu C. , Meng X. , and Yao L. A real-time kinematic GPS positioning based structural health monitoring system for the 32 km Donghai Bridge in China. In: Proceedings of the 6th International Workshop on Structural Health Monitoring, Stanford, CA, USA, 2007.

13.

http://www.ishmii.org/News/2004_07_15_FOSpipeline. html.

14.

Sørensen BF , Lading L. and Sendrup P. , et al. Fundamentals for remote structural health monitoring of wind turbine blades - a preproject. Risø, Denmark: Risø-R-1336(EN), Risø National Laboratory , 2002.

15.

Kanda K. , Kobori T. , Ikeda Y. , and Koshida H. The development of a pre-arrival transmission system for earthquake information applied to seismic response controlled structures. In: Proceedings of the 1st World Conference on Structural Control, California, USA, 1994.

16.

McConnell KG and Reiley WF Strain-gage instrumentation and data analysis. In: Kobayashi AS (ed.) Handbook on experimental mechanics. Englewood Cliffs: Prentice-Hall, 1987, pp.79-116.

17.

Lynch JP Decentralization of wireless monitoring and control technologies for smart civil structures. Stanford, CA, USA: Blume Earthquake Engineering Center, Technical Report #140, Stanford University, 2002.

18.

Fujino Y. and Abe M. Structural health monitoring in civil infrastructures and R&D of SHM of bridges at University of Tokyo. In: Proceedings of the 3rd International Workshop Structural Health Monitoring: The Demands and Challenges, Stanford, CA, USA, 2001, pp.61-79.

19.

Lynch JP , Law KH , Kiremidjian AS , et al. Laboratory and field validation of a wireless sensing unit design for structural monitoring. In: Proceedings of the US-Korea Workshop on Smart Structural Systems, Pusan, Korea, 2002.

20.

Various Authors . Structural Health Monitoring 2007 - quantification, validation and implementation. In: Chang F-K (ed.) Proceedings of the 6th International Workshop on Structural Health Monitoring, Stanford University, Stanford, CA, USA, 2007, 2081 pp.

21.

Various Authors . Structural Health Monitoring 2008 . In: Uhl T , Ostachowicz W , and Holnicki-Szulc J. (eds.) Proceedings of the 4th European Workshop on Structural Health Monitoring, Cracow, Poland, 2008, 1309 pp.

22.

Various Authors . Structural Health monitoring 2009 - from system integration to autonomous systems. In: Chang F-K. (ed.) Proceedings of the 7th International Workshop on Structural Health Monitoring , Edited by Stanford University, Stanford, CA, USA, 2009, 2322 pp.

23.

Doebling SW , Farrar CR , Prime MB , and Shevitz DW Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review. Technical Report LA-13070-MS, UC-900, Los Alamos National Laboratory , New Mexico 87545, USA, 1996.

24.

Gul M. and Catbas FN Damage assessment using a novel modified time series analysis methodology . In: Chang F-K (ed.) Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford, CA, USA, 2009, pp.462-470.

25.

Noh HY , Lignos DG , Nair KK , and Kiremidjian AS Application of wavelet based damage sensitive features for structural damage diagnosis. In: Chang F-K. (ed.) Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford, CA, USA, 2009, pp.2011-2018.

26.

Lanata F. Statistical algorithms for damage detection using static and dynamic approaches . In: Uhl T , Ostachowicz W , and Holnicki-Szulc J. (eds) Proceedings of the 4th European Workshop on Structural Health Monitoring, Cracow, Poland , 2008, pp.1047-1054.

27.

Li J. , Zhang Y. , and Zhu S. A wavelet-based structural damage assessment approach with progressively downloaded sensor data. Smart Mater Struct 2007; 17(2008): 015020 (11 pp.).

28.

Mizuno Y. and Fujino Y. Wavelet decomposition approach for archiving and querying large volume of Structural Health Monitoring data. In: Proceedings of the 3rd International Conference on Structural Health Monitoring of Intelligent Infrastructure, Vancouver, Canada, 2007.

29.

Magalhães F. , Cunha A. , and Caetano E. Dynamic monitoring of a long span arch bridge . Eng Struct 2008 ; 30: 3034-3044.

30.

Brincker R. , Andersen P. , and Jacobsen NJ Automated frequency domain decomposition for operational modal analysis. In: Proceedings of the 25th SEM International Modal Analysis Conference, Orlando, FL, USA , 2007.

31.

Magalhães F. , Cunha A. , and Caetano E. Online automatic identification of the modal parameters of a long span arch bridge. Mech Syst Signal Process 2009; 23: 316-329.

32.

Deraemaeker A. , Reynders E. , De Roeck G. , and Kullaa J. Vibration-based structural health monitoring using output-only measurements under changing environment. Mech Syst Signal Process 2008 ; 22: 34-56.

33.

Heaton TH A model for a seismic computerized alert network. Science 1985; 228(4702): 987-990.

34.

Wieland M. Earthquake alarm, rapid response and early warning systems: low cost systems for seismic risk reduction. In: Proceedings of the International Workshop on Disaster Reduction, Reston, Virginia, USA , 2001.

35.

Veneziano D. and Papadimitriou AG Optimization of the seismic early warning system for the Tohoku Shinkansen . In: Proceedings of the 11th European Conference on Earthquake Engineering, Paris, France, 1998.

36.

Wald DJ , Quitoriano V. , Heaton TH , Kanamori H. , Scrivner CW , and Oorden BC TriNet ‘‘ShakeMaps’’: rapid generation of peak ground motion and intensity maps for earthquake in southern California . Earthquake Spectra 1999; 15: 537-555.

37.

Wieland M. , Griesser M. , and Kuendig C. Seismic early warning system for a nuclear power plant. In: Proceedings of the 12th World Conference on Earthquake Engineering, Auckland, New Zealand, 2000.

38.

Allen RM , Gasparini P. , and Kamigaichi O. Earthquake early warning special issue. Seismol Res Lett 2009; 80(5): 682-782.

39.

Gasparini P. , Manfredi G. , and Zschau J. Earthquake early warning systems. Heidelberg: Springer, 2007.

40.

Doi K. Earthquake early warning in Japan - provision to the general public and its results. In: Proceedings of the 2nd International Workshop on Earthquake Early Warning, Kioto, Japan, 2009.

41.

Horiuchi S. Home seismometer for earthquake early warning . In: Proceedings of the 2nd International Workshop on Earthquake Early Warning, Kioto, Japan, 2009.

42.

Motosaka M. and Homma M. Application of earthquake early warning system inschools and experience of the 2008 Iwate-Miyagi Nairiku Earthquake. In: Proceedings of the 2nd International Workshop on Earthquake Early Warning, Kioto, Japan, 2009.

43.

Espinosa-Aranda JM , Jimenez A. , Ibarrola G. , Alcantar F. , and Aguilar A. Mexico City seismic alert system. Seismol Res Lett 1995 ; 66: 42-53.

44.

Iglesias A. , Singh SK , Ordaz M. , Santoyo M. , and Pacheco J. The Seismic Alert System for Mexico City: an evaluation of its performance and a strategy for its improvement. Bull Seismol Soc Am 2007; 97(5): 1718-1729.

45.

Wu YM , Shin TC , and Tsai YB Quick and reliable determination of magnitude for seismic early warning . Bull Seismol Soc Am 1998; 88: 1254-1259.

46.

Wu YM and Teng T. A virtual subnetwork approach to Earthquake Early Warning. Bull Seismol Soc Am, BSSA 2002; 92(5): 2008-2018.

47.

Hsiao NC , Wu YM , Chen D. , and Shin TC Development of earthquake early warning system in Taiwan. In: Proceedings of the 2nd International Workshop on Earthquake Early Warning, Kioto, Japan, 2009.

48.

Erdik M. , Şeşetyan K, and Demircioglu MB Earthquake early warning and rapid loss information generation in Istanbul. In: Proceedings of the 2nd International Workshop on Earthquake Early Warning, Kioto, Japan, 2009.

49.

Peng H. , Wu Z. , Xu Y. , and Jiang C. Prototype earthquake early warning system in the Beijing capital region of China . In: Proceedings of the 2nd International Workshop on Earthquake Early Warning, Kioto, Japan , 2009.

50.

Zollo A. , Iannaccone G. , Satriano C. , Weber E. , Lancieri M. , and Lomax A. On going development of a seismic alert managment system for the Campania region (Southern Italy). In: Proceedings of the Earthquake Early Warning Workshop, Pasadena, CA, USA, 2005.

51.

Iannaccone G. , Zollo A. and Elia L. , et al. A prototype system for earthquake early-warning and alert management in southern Italy . Bull Earthquake Eng 2009; DOI: 10.1007/s10518-009-9131-8, 25 pp).

52.

53.

Occhiuzzi A. , Grasso VF , and Manfredi G. Early Warning Systems from a structural control perspective. In: Proceedings of the 3rd European Conference on Structural Control, Vienna, Austria, 2004.

54.

Li J. , Zhang Y. , and Zhu S. A wavelet-based structural damage assessment approach with progressively downloaded sensor data. Smart Mater Struct 2008; 17: 015020 (11 pp.).

55.

Gasparini P. Structural health monitoring and early warning. ReLUIS Line 9 Final Report, Naples , Italy, 2009.

56.

Weber E. , Iannaccone G. and Zollo A. , et al. Development and testing of an advanced monitoring infrastructure (ISNet) for seismic early-warning applications in the Campania Region of Southern Italy. In: Gasparini P , et al. (eds) Earthquake early warning systems. New York : Springer-Verlag, 2007 350 pp.

57.

Sun Microsystems . MySQL® Reference Manual. Available on-line at dev.mysql.com/doc/#manual, 2009.

58.

Rainieri C. , Fabbrocino G. , Manfredi G. , and Cosenza E. Structural monitoring and assessment of the School of Engineering Main Building at University of Naples Federico II. In: Proceedings of the 3rd International Conference on Structural Health Monitoring of Intelligent Infrastructures, Vancouver, Canada, 2007.

59.

Çelebi M. Health monitoring of buildings using threshold drift ratios - now an established method. In: Chang F -K. (ed.) Proceedings of the 6th International Workshop on Structural Health Monitoring. Stanford, CA, USA: Stanford University, 2007, pp.467-475.

60.

Brincker R. , Zhang L. , and Andersen P. Modal identification from ambient responses using frequency domain decomposition. In: Proceedings of the 18th SEM International Modal Analysis Conference, San Antonio, TX, USA, 2000.

61.

Rainieri C. Operational modal analysis for seismic protection of structures. PhD Thesis, Naples, Italy, 2008.

62.

Peeters B. System identification and damage detection in civil engineering. PhD Thesis, Katholieke Universiteit Leuven , Leuven, Belgium, 2000.

63.

Van Overschee P. and De Moor B. Subspace identification for linear systems: theory - implementation - applications. Dordrecht, The Netherlands: Kluwer Academic Publishers , 1996.

64.

Gade S. , Møller N. B, Herlufsen H. and Konstantin- Hansen H. Frequency domain techniques for operational modal analysis. In: Brincker R and Møller N. (eds) Proceedings of the 1st International Operational Modal Analysis Conference, Copenhagen, Denmark , 2005, pp. 261-271.

65.

Poncelet F. , Kerschen G. , Golinval J-C. , and Verhelst D. Output-only modal analysis using blind source separation techniques. Mech Syst Signal Process 2007 ; 21(6): 2335-2358.

66.

Rainieri C. , Fabbrocino G. , Polito T. , and Marulo F. Blind Source Separation for acoustic and modal analysis: a comparative assessment. In: Proceedings of the 3rd International Operational Modal Analysis Conference, Portonovo, Italy , 2009.

67.

Allemang RJ and Brown DL A correlation coefficient for modal vector analysis. In: Proceedings of the 1st SEM International Modal Analysis Conference, Orlando, FL, USA, 1982.

68.

Cardoso JF and Souloumiac A. Jacobi angles for simultaneous diagonalization. SIAM J Matrix Anal Appl 1996; 17(1): 161-164.

69.

Rainieri C, Fabbrocino G, and Cosenza E. Real-time structural monitoring of the School of Engineering Main Building at the University of Naples Federico II- Records of dynamic effects induced by Abruzzo earthquake on April 6th, 2009. Reluis-StreGa Lab Technical Report, 2009, available on-line at www.reluis.it.