Abstract
The estimation of axial load in prismatic members using flexural vibrations has been investigated for long. Several methods are available in the literature. They take advantage of experimental estimates of the parameters of flexural modes to solve an inverse problem and identify the axial loads in the presence of a number of assumptions and eventual additional unknowns. These methods represent a valuable solution for the estimation of the tensile force in operation. A common drawback is the need to periodically carry out a modal identification test, usually exciting the member by an impact hammer and manually processing the collected dataset. This makes these techniques suitable for periodic checks rather than continuous monitoring. Taking advantage of the most recent developments in the field of Operational Modal Analysis (OMA), an automated system for continuous monitoring of axial loads based on dynamic measurements has been developed.
After a review of the methods for vibration-based axial load identification, the development of the monitoring system for continuous tensile load estimation is discussed in its relevant aspects. Some experimental results obtained after the installation of the monitoring system on one of the cables of a sample arch steel roof are finally illustrated for validation purposes.
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References
Wenzel H, Pichler D (2005) Ambient vibration monitoring. Wiley, Chichester, p 291
Conte C, Rainieri C, Aiello MA, Fabbrocino G (2011) On-site assessment of masonry vaults: dynamic tests and numerical analysis. GEOFIZIKA 28:127–143
Marcari G, Fabbrocino G, Laorenza C, Cosenza E (2008) Structural analysis of timber connections of the Caserta Royal Palace. In: Proceedings of the 6th international conference on structural analysis of historic constructions (SAHC 08), Bath
Tullini N, Laudiero F (2008) Dynamic identification of beam axial loads using one flexural mode shape. J Sound Vib 318:131–147
Lagomarsino S, Calderini C (2005) The dynamical identification of the tensile force in ancient tie-rods. Eng Struct 27:846–856
Rebecchi G, Tullini N, Laudiero F (2011) Identificazione dello sforzo normale in elementi strutturali mediante prove dinamiche. In: Atti del Convegno Nazionale ANIDIS L’ingegneria sismica in Italia, Bari (in Italian)
Amabili M, Carra S, Collini L, Garziera R, Panno A (2010) Estimation of tensile force in tie-rods using a frequency-based identification method. J Sound Vib 329:2057–2067
Maes K, Peeters J, Reynders E, Lombaert G, De Roeck G (2013) Identification of axial force in beam members by local vibration measurements. J Sound Vib 332:5417–5432
Zhang L, Brincker R, Andersen P (2005) An overview of operational modal analysis: major development and issues. In: Brincker R, Moller N (eds) Proceedings of the 1st international operational modal analysis conference, Copenhagen, pp 179–190
Rainieri C, Fabbrocino G (2011) Operational modal analysis for the characterization of heritage structures. GEOFIZIKA 28:109–126
Lardies J, Ta M-N (2011) Modal parameter identification of stay cables from output-only measurements. Mech Syst Signal Process 25:133–150
Rainieri C, Fabbrocino G (2010) Automated output-only dynamic identification of civil engineering structures. Mech Syst Signal Process 24(3):678–695
Rainieri C, Fabbrocino G, Cosenza E (2011) Near real-time tracking of dynamic properties for standalone structural health monitoring systems. Mech Syst Signal Process 25(8):3010–3026
Rainieri C, Fabbrocino G (2013) Accurate damping estimation by automated OMA procedures. Conf Proc Soc Exp Mech Ser 39(4):1–9
Van Overschee P, De Moor B (1996) Subspace identification for linear systems: theory – implementation – applications. Kluwer Academic, Dordrecht, p 254
Peeters B (2000) System identification and damage detection in civil engineering. Ph.D. Thesis, Katholieke Universiteit Leuven, Leuven
Ans B, Hérault J, Jutten C (1985) Adaptive neural architectures: detection of primitives. In: Proceedings of COGNITIVA’85, Paris, pp 593–597
Belouchrani A, Abed-Meraim K, Cardoso JF, Moulines E (1997) A blind source separation technique using second-order statistics. IEEE Trans Signal Process 45:434–444
Poncelet F, Kerschen G, Golinval JC, Verhelst D (2007) Output-only modal analysis using blind source separation techniques. Mech Syst Signal Process 21:2335–2358
Tan P-N, Steinbach M, Kumar V (2006) Introduction to data mining. Pearson Addison-Wesley, Reading, p 769
Rainieri C, Fabbrocino G, Cosenza E (2010) Some remarks on experimental estimation of damping for seismic design of civil constructions. Shock Vib 17(4–5):383–395
Brincker R, Zhang L, Andersen P (2000) Modal identification from ambient responses using frequency domain decomposition. In: Proceedings of the 18th SEM international modal analysis conference, San Antonio
Cardoso JF, Souloumiac A (1996) Jacobi angles for simultaneous diagonalization. SIAM J Matrix Anal Appl 17:161–164
Clough RW, Penzien J (1993) Dynamics of structures, 2nd edn. McGraw-Hill, New York, p 738
Acknowledgments
The present work is carried out within the activities of AT2–LR 2–Task 3 of the ReLuis-DPC Executive Project 2010–2013, rep. 823. Support of ReLuis Consortium is therefore gratefully acknowledged.
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Rainieri, C., Gargaro, D., Cieri, L., Fabbrocino, G. (2014). Vibration-Based Continuous Monitoring of Tensile Loads in Cables and Rods: System Development and Application. In: Wicks, A. (eds) Structural Health Monitoring, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-04570-2_30
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DOI: https://doi.org/10.1007/978-3-319-04570-2_30
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