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Structural monitoring of “Himera” viaduct by low-cost MEMS sensors: characterization and preliminary results

  • New Trends in Dynamics and Stability
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Abstract

The term structural health monitoring (SHM) usually refers to the process of implementing a damage detection strategy for aerospace, civil or mechanical engineering infrastructures. Under an extreme event, such as an earthquake or unanticipated blast loading, SHM could be used for rapid condition screening, to provide, in near real time, reliable information about the performance of a structural system during the event and about the subsequent integrity of the system itself. On the other hand, owners of buildings and civil infrastructures need information on the actual state of the structures in order to realize effective life-cycle management plans and reduce the economic and social impact of maintenance. In fact, inspections and repairs entail huge direct and social costs due to the interruption or reduction of the structure serviceability. Such information can be collected and elaborated by means of adequate monitoring systems but their diffusion is still limited by the high cost of sensors and devices needed. In this work, the realization of a monitoring system on some bridge piers of the “Himera” viaduct, located in Italian A19 Palermo–Catania highway and recently damaged by a landslide, is presented. The proposed monitoring system aims to observe the global stability of the un-collapsed side of the viaduct during the demolition works of the other side and it is intended as a quasi-real-time alert tool able to send data and warning messages to an operations center. In order to contain costs, low-cost micro electronic mechanical system sensors have been used for the monitoring. The architecture and main features of the developed monitoring system are described in detail and the preliminary results, recorded during the first months of the campaign, are reported and discussed. Since the proposed monitoring system is still a prototype, it has been necessary to provide a metrological characterization campaign in laboratory conditions in order to define a calibration law to correct the acquired data and to estimate the sensitivity and the accuracy of the measurements. The results proved that the proposed system can be used for the monitoring of civil structures and infrastructures.

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References

  1. Doebling SW, Farrar CR, Prime MB, Shevitz DW (1996) Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review. Los Alamos Nacional Laboratory, LA-13070-M. doi:10.2172/249299

  2. Farrar CR, Worden K (2013) Structural health monitoring. A machine learning perspective. Wiley, Chichester

    Google Scholar 

  3. Hu WH, Caetano E, Cunha A (2013) Structural health monitoring of a stress-ribbon footbridge. Eng Struct 57:578–593

    Article  Google Scholar 

  4. Gentile C, Guidobaldi M, Saisi A (2016) One-year dynamic monitoring of a historic tower: damage detection under changing environment. Meccanica 51(11):2873–2889

    Article  Google Scholar 

  5. Elyamani A, Caselles O, Roca P, Clapes J (2017) Dynamic investigation of a large historical cathedral. Struct Control Health Monit 24(3):e1885

    Article  Google Scholar 

  6. Ruiz-Sandoval M, Spencer BF Jr., Kurata N (2003) Development of a high sensitivity accelerometer for the mica platform. In: Proceedings of 4th international workshop on structural health monitoring, Stanford, CA, pp 1027–1034

  7. Spencer BF Jr, Ruiz-Sandoval M, Kurata N (2004) Smart sensing technology: opportunities and challenges. J Struct Control Health Monit 11:349–368

    Article  Google Scholar 

  8. Ruiz-Sandoval M, Nagayama T, Spencer BF Jr (2006) Sensor development using Berkeley mote platform. J Earthq Eng 10(2):289–309

    Google Scholar 

  9. Acar C, Shkel AM (2003) Experimental evaluation and comparative analysis of commercial variable capacitance MEMS accelerometers. J Micromech Microeng 13(5):634–645

    Article  Google Scholar 

  10. Furlong C, Kok R, Ferguson CF (2005) Dynamic analysis and characterization of MEMS accelerometers by computational and opto-electromechanical methodologies. In: Proceedings of the 2005 IEEE international reliability physics symposium proceedings, 43rd annual, San Jose, CA, United States, 17–2 April 2005

  11. Kant RA, Nagel DJ (2006) Characteristics and performance of MEMS accelerometers. AIP Conf Proc 368(1):166–176

    ADS  Google Scholar 

  12. Deb N, Blanton RD (2006) Built-in self-test of MEMS accelerometers. J Microelectromech Syst 15(1):52–68

    Article  Google Scholar 

  13. Park M, Gao Y (2006) Error analysis and stochastic modeling of low-cost MEMS accelerometer. J Intell Robot Syst Theory Appl 46(1):27–41

    Article  Google Scholar 

  14. Cigada A, Lurati M, Redaelli M, Vanali M (2007) Mechanical performance and metrological characterization of MEMS accelerometers and application in modal analysis. In: Proceedings of the IMAC-XXV: Conference & Exposition on structural dynamics, Society for Experimental Mechanics, 19–22 Feb 2007, Orlando, Florida. http://www.sem.org/

  15. Zhang L, Lu J, Takagi H, Maeda R (2014) Frontside-micromachined planar piezoresistive vibration sensor: evaluating performance in the low frequency test range. AIP Adv 4:017112

    Article  ADS  Google Scholar 

  16. Castelli F, Lo Iacono F, Lentini V, Navarra G (2017) Monitoraggio di infrastrutture civili mediante l’uso di sensori MEMS a basso costo: il caso studio del viadotto “Himera I”. In: Proceedings of the XXVI Convegno Nazionale di Geotecnica—La geotecnica nella conservazione e tutela del patrimonio costruito, Roma, 20–22 Giugno 2017

  17. InvenSense Inc. (2013) Product specification document “PS-MPU-6000A-00”, www.invensense.com

  18. Łuczak S, Oleksiuk W, Bodnicki M (2006) Sensing tilt with MEMS accelerometers. IEEE Sens J 6(6):1669–1675

    Article  Google Scholar 

  19. Alves FS, Dias RA, Cabral J, Rocha LA (2012) Pull-in MEMS inclinometer. Procedia Eng 47:1239–1242

    Article  Google Scholar 

  20. Ha D, Park H, Choi S, Kim Y (2013) A wireless MEMS-based inclinometer sensor node for structural health monitoring. Sensors 13(12):16090–16104

    Article  Google Scholar 

  21. Alves FS, Dias RA, Cabral J, Gaspar J, Rocha LA (2015) High-resolution MEMS inclinometer based on pull-in voltage. J Microelectromech Syst 24(4):931–939

    Article  Google Scholar 

  22. Taylor JR (1997) An introduction to error analysis, the study of uncertainties in physical measurements, 2nd edn. University Science Books, New York, NY

  23. Navarra G, Lo Iacono F, Oliva M (2015) Static and dynamic characterization of a low-cost MEMS sensor for structural monitoring purposes. In: Proceedings of XXII Congresso Associazione Italiana di Meccanica Teorica e Applicata—AIMETA 2015, ISBN 978-88-97752-55-4, pp 287–296, Genoa, Italy, 14–17 Sep

  24. Fazzari B, Stella A, Navarra G, Lo Iacono F (2016) Smart automation system dedicated to infrastructure and construction. In: Proceedings of the international conference on smart infrastructure and construction. ICSIC 2016, Robinson College, Cambridge, United Kingdom, 27–29 June 2016, pp 277–282. doi:10.1680/tfitsi.61279.277

  25. Jewel Istruments LLC (2017) Online product specification document http://jewellinstruments.com

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Authors and Affiliations

  1. Facoltà di Ingegneria ed Architettura, Università degli Studi di Enna “Kore” Cittadella Universitaria, 94100, Enna, Italy

    Francesco Lo Iacono, Giacomo Navarra & Maria Oliva

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  1. Francesco Lo Iacono
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  2. Giacomo Navarra
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  3. Maria Oliva
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Correspondence to Giacomo Navarra.

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Lo Iacono, F., Navarra, G. & Oliva, M. Structural monitoring of “Himera” viaduct by low-cost MEMS sensors: characterization and preliminary results. Meccanica 52, 3221–3236 (2017). https://doi.org/10.1007/s11012-017-0691-4

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  • DOI: https://doi.org/10.1007/s11012-017-0691-4

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