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Eliminating the problem of one-dimensionality of radar interferometry techniques for long-span slender bridge structures

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Języki publikacji
EN
Abstrakty
EN
Ground-based radar interferometry have been proved as a very useful tool for vibration monitoring and bridge load testing in recent years. However, if we try to apply this technique to monitoring long, slender bridges it appears that radar interferometry has some disadvantages due to its one dimensional nature. This publication presents a new solution to that problem. It has been tested and implemented for ATR sensors of modern total stations. Data have been processed with proper signal processing algorithms and as a result full compatibility between the proposed solution and radar interferometry has been proved.
Wydawca
Rocznik
Strony
100--104
Opis fizyczny
Bibliogr. 19
Twórcy
autor
  • AGH University of Science and Technology, Department of Engineering Surveying and Civil Engineering, Cracow, Poland
Bibliografia
  • [1] GDDKiA: https://www.gddkia.gov.pl, Access: 24.04.2016.
  • [2] Gazzola F., Pavani R.: Blow-up oscillating solutions to some nonlinear fourth order differential equations describing oscillations of suspension bridges, IABMAS12, 6th Int. Conf. on Bridge Maintenance, Safety, Management, Resilience and Sustainability, 3089-3093, Stresa 2012, Biondini & Frangopol (Editors), Taylor & Francis Group, London 2012.
  • [3] Ammann O. H., von Kármán T., Woodruff G .B.: The failure of the Tacoma Narrows Bridge, Federal Works Agency 1941.
  • [4] Dallard P., Fitzpatrick T., Flint A., Low A., Smith R. R., Willford M., Roche M.: London Millennium Bridge: Pedestrian-Induced Lateral Vibration, J. of Bridge Engineering, Trans. ASCE, 6, 412-417, 2001.
  • [5] Gikas,V., Daskalakis S.: Comparative testing and analysis of RTS vs. GPS for structural monitoring using calibration measurements upon sinusoidal excitation. XXIII FIG symposium on deformation measurement and analysis. Lisbon, Portugal 2008.
  • [6] Li X.: Integration of GPS, accelerometers and optical fibre sensors for structural deformation monitoring, 17th Int. Tech. Meeting of the Satellite Division of the U.S. Institute of Navigation, Long Beach, California 2004.
  • [7] Kovačič B., Kapović Z: Precision and results reliability analysis of different instruments for investigating vertical micro-displacement of structures. Survey review - Dir. Overseas Surv., 38, 2005.
  • [8] Owerko T.: Beat frequency detection of bridges using ground-based radar interferometry. Pomiary, Automatyka, Kontrola, ISSN 0032-4140, 2014, vol. 60, nr 11.
  • [9] Gocał J., Ortyl Ł., Owerko T., Kuras P., Kocierz R., Ćwiąkała P., Puniach E., Sukta O., Bałut A.: Determination of displacement and vibrations of engineering structures using ground-based radar interferometry. Wydawnictwa AGH, 2013.
  • [10] Kirschner H., Stempfhuber W.: The Kinematic Potential of Modern Tracking Total Stations - A State of the Art Report on the Leica TPS1200+, 1st International Conf. on Machine Control & Guidance, 2008.
  • [11] Marr H., Zogg H. M.: WFD – Wave Form Digitizer Technology White Paper Leica Geosystems AG, Heinrich-Wild-Strasse CH-9435 Heerbrugg, 2014.
  • [12] Leica FlexLine GeoCOM Reference Manual Version 1.30, Leica Geosystems AG, Heinrich-Wild-Strasse CH-9435 Heerbrugg.
  • [13] Mathworks: http://www.mathworks.com/help/matlab/matlab_external/ limitations-to-shared-library-support.html, Access: 24.04.2016.
  • [14] Zieliński T. P.: Od teorii do cyfrowego przetwarzania sygnałów, Wydział EAIiE, AGH w Krakowie, 2002.
  • [15] Press, William H. and George B. Rybicki: Fast Algorithm for Spectral Analysis of Unevenly Sampled Data. Astrophysical Journal. Vol. 338, 1989.
  • [16] Lomb, Nicholas R.: Least-Squares Frequency Analysis of Unequally Spaced Data. Astrophysics and Space Science. Vol. 39, 1976.
  • [17] Scargle J. D., Jeffrey D.: Studies in Astronomical Time Series Analysis. II. Statistical Aspects of Spectral Analysis of Unevenly Spaced Data. Astrophysical Journal. Vol. 263, 1982.
  • [18] Press H., Teukolsky S. A., Vetterling W. T., Flannery B. P.: Numerical Recipes: The Art of Scientific Computing, Third Edition (2007) Cambridge University Press, ISBN-10: 0521880688.
  • [19] Horne, James H. and Sallie L. Baliunas. :A Prescription for Period Analysis of Unevenly Sampled Time Series." Astrophysical Journal. Vol. 302, 1986.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8e84eeb1-e982-4f55-a699-59b41586ebe0
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