Abstract
This book chapter presents a strategy to perform the processing of data collected by dynamic monitoring systems in continuous operation, having in mind the evaluation of the structure health. This is based on the use of recently developed algorithms that are able to automatically perform the identification of the structure modal parameters from acceleration time series collected while the structure is in normal operation. From the analysis of the time evolution of natural frequencies associated with relevant modes, it is possible to perceive abnormal changes that might be associated with the appearance of structural damage. As it will be demonstrated throughout the chapter, this is only possible if adequate statistical tools are adopted to minimize the effects of environmental and operational factors, such as the ambient temperature or the traffic intensity over a bridge, on the experimentally identified modal parameters.
The presentation of the essential theoretical aspects behind the main processing steps is combined with their exemplification on the analysis of data collected by a dynamic monitoring system in continuous operation on a concrete arch bridge at the city of Porto, in Portugal.
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References
Adão da Fonseca A, Millanes Mato F (2005) Infante Henrique Bridge over the River Douro. Porto Port Struct Eng Int 15:85–87
Allemang RJ, Brown DL (1982) A correlation coefficient for modal vector analysis. In: Proceedings of IMAC 1, international modal analysis conference, Orlando
Brincker R., Zhang L, Andersen P (2000) Modal identification from ambient responses using frequency domain decomposition. In: Proceedings of IMAC 18, international modal analysis conference, San Antonio
Deraemaeker A, Reynders E, De Roeck G, Kullaa J (2008) Vibration-based structural health monitoring using output-only measurements under changing environment. Mech Syst Signal Process 22:34–56
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 National Laboratory, Los Alamos LA-13070-MS
Hair J, Anderson R, Tatham R, Black W (1998) Multivariate data analysis. Prentice Hall, Upper Saddle River
Heylen W, Lammens S, Sas P (2007) Modal analysis theory and testing. KULeuven, Leuven
Johnson RA, Wichern DW (1992) Applied multivariate statistical analysis. Prentice Hall, Upper Saddle River
Kullaa J (2003) Damage detection of the Z24 bridge using control charts. Mech Syst Signal Process 17:163–170
Ljung L (1999) System identification: theory for the user. Prentice Hall, Upper Saddle River
MacLamore VR, Hart GC, Stubbs IR (1971) Ambient vibration of two suspension bridges. J Struct Div, ASCE 97:2567–2582
Magalhães F (2010) Operational modal analysis for testing and monitoring of bridges and special structures. PhD thesis, Faculty of Engineering, University of Porto, Portugal
Magalhães F, Cunha Á (2011) Explaining operational modal analysis with data from an arch bridge. Mech Syst Signal Process 25(5):1431–1450
Magalhães F, Cunha, Á, Caetano, E, Adão da Fonseca A et al. (2006) Evaluation of the dynamic properties of the Infante Dom Henrique Bridge. In: Proceedings of IABMAS, Porto
Magalhães F, Cunha Á, Caetano E (2008) Dynamic monitoring of a long span arch bridge. Eng Struct 30:3034–3044
Magalhães F, Cunha Á, Caetano E (2009a) Online automatic identification of the modal parameters of a long span arch bridge. Mech Syst Signal Process 23:316–329
Magalhães F, Cunha Á, Caetano E, Brincker R (2009b) Damping estimation using free decays and ambient vibration tests. Mech Syst Signal Process 24:1274–1290
Magalhães F, Cunha Á, Caetano E (2011) Vibration based structural health monitoring of an arch bridge: from automated OMA to damage detection. Mech Syst Signal Process 28:212–228
Magalhães F, Amador S, Cunha Á, Caetano E (2012) DynaMo: software for vibration based structural health monitoring. In: Proceedings of IABMAS, Stresa, Lake Maggiore, Italy
Montgomery D (2005) Introduction to statistical quality control. Wiley, New York
Ni YQ, Hua XG, Fan KQ, Ko JM (2005) Correlating modal properties with temperature using long-term monitoring data and support vector machine technique. Eng Struct 27:1762–1773
Peeters B (2000) System identification and damage detection in civil engineering. PhD thesis, Katholieke Universiteit Leuven, Leuven
Peeters B, De Roeck G (2001) One-year monitoring of the Z24-Bridge: environmental effects versus damage events. Earthq Eng Struct Dyn 30:149–171
Peeters B, Van Der Auweraer H (2005) PolyMax: a revolution in operational modal analysis. In: Proceedings of IOMAC, international operational modal analysis conference, Copenhagen
Rainieri C, Fabbrocino G (2012) Automated output-only dynamic identification of civil engineering structures. Mech Syst Signal Process 24:678–695
Reynders E, Houbrechts J, De Roeck G (2012) Fully automated (operational) modal analysis. Mech Syst Signal Process 19:228–250
Sohn H (1851) Effects of environmental and operational variability on structural health monitoring. Philos Trans R Soc A 365:539–560
Sohn H, Farrar R, Hemez M, Czarnecki J et al. (2002) A review of structural health monitoring literature: 1996–2001. Los Alamos National Laboratory, Los Alamos
Steenackers G, Guillaume P (2005) Structural health monitoring of the Z-24 bridge in the presence of environmental changes using modal analysis. In: Proceedings of IMAC 23, international modal analysis conference, Orlando
Van Overschee P, De Moor B (1996) Subspace identification for linear systems. Kluwer Academic Publishers, Leuven
Vapnik VN (1999) An overview of statistical learning theory. IEEE Trans Neural Netw 10:988–999
Acknowledgements
The authors would like to acknowledge: (1) all the supports provided by the Portuguese Foundation for Science and Technology (FCT) to CEC/ViBest at FEUP for the development of research in the area of Long-Term Dynamic Monitoring, and particularly to the development of the ongoing project DynaMO_Demo; (2) the Ph.D. Scholarship (SFRH/BD/24423/2005) provided by FCT to the first author; (3) the support provided by the bridge designer, Prof. Adão da Fonseca, and by the bridge owner, Metro do Porto.
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Magalhães, F., Cunha, Á., Caetano, E. (2013). Structural Health Monitoring Based on Automated Operational Modal Analysis: Application to an Arch Bridge. In: Garevski, M. (eds) Earthquakes and Health Monitoring of Civil Structures. Springer Environmental Science and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5182-8_10
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DOI: https://doi.org/10.1007/978-94-007-5182-8_10
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