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Experimental identification of modal parameters for the model of a building subjected to short-term kinematic excitation

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this work, the input-output method of dynamic parameters’ identification is experimentally tested. A method based on the transformation of a dynamic problem into a static problem by means of integration of the input and output signal was presented. The problem discussed in this article is the identification of the coefficients of stiffness matrices and eigenfrequencies of a discrete dynamic system subjected to kinematic input. The experimental analysis was carried out on a three-storey slab-and-column structure, which constitutes a physical model of a building. The vibrations of the model were excited kinematically by an earthquake simulator. The device has a computer-controlled, movable table top, which can move independently in three directions, that is, horizontally, vertically, and rotationally around the vertical axis. The aim of the experimental studies presented in this work was to determine the dynamic parameters of the model (stiffness, natural frequencies) using the input-output method in the time domain. Moreover, the results obtained with this method were compared with the results of experimental modal analysis (EMA) in order to verify their correctness. It was assumed that the movement of the base is horizontal and occurs in one direction. Two short-term, irregular kinematic excitations of the construction were considered, and the selected results and conclusions from experimental analyses were presented in this work.
Wydawca
Rocznik
Strony
321--332
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
  • Faculty of Civil Engineering, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
Bibliografia
  • [1] Alvin, K. F., Robertson, A. N., Reich, G.W. & Park, K.C. 2003. Structural system identification: from reality to models, Computers and Structures, 81,1149–1176.
  • [2] Cunha, A., Caetano, E. 2006. Experimental Modal Analysis of Civil Engineering Structures, Sound and Vibration, (2006, June), pp. 12-20.
  • [3] Grosel, J., Sawicki, W., Pakos, W. 2014. Application of Classical and Operational Modal Analysis for Examination of Engineering Structures, Procedia Engineering, 91, pp. 136-141.
  • [4] Grosel, J., Sawicki, W., Wojcicki, Z. 2009. The identifications of modal parameters of a large industrial structure, Proceedings of The 3rd International Operational Modal Analysis Conference (IOMAC), Ancona, Italy.
  • [5] Harris, C. M., Piersol, A. G. 2002. Shock and Vibration Handbook. 5th ed. USA: The McGraw-Hill Companies Inc.
  • [6] Imai, H., Yun, C. B., Maruyama, O. & Shinozuka, M. 1989. Fundamentals of system identification in structural dynamics, Probabilistic Engineering Mechanics, 4, 162–173.
  • [7] Jarczewska, K., Koszela, P., Śniady, P. & Korzec, A. 2011. Identification of the structure parameters using short-time non-stationary stochastic excitation, Journal of Sound and Vibration, 330, pp. 3352–3367.
  • [8] Ljung, L. 1987. System Identification. Theory for the User, Prentice-Hall PTR.
  • [9] Lus, H., Betti, R., Longman, R.W. 1999. Identification of linear structural systems using earthquake-induced vibration data, Earthquake Engineering and Structural Dynamics, 28, pp.1449–1467.
  • [10] Majcher, K. 2014. The Influence of Changing Stiffness Characteristic of a Semi-Active Tuned Mass Damper onto the Effectiveness of Vibration Reduction in a Plate-Column Structure, Procedia Engineering, 91, pp. 12-129.
  • [11] Pappalardo, C. M., Guida, D. 2018. System Identification and Experimental Modal Analysis of a Frame Structure, Engineering Letters, Vol. 26, No. 1, pp. 56-68.
  • [12] Pridham, B.A., Wilson, J.C. 2004. Identification of base-excited structures using output-only parameter estimation, Earthquake Engineering and Structural Dynamics, 33, pp. 133-155.
  • [13] Shenoi, B. A. 2006. Introduction to digital signal processing and filter design. Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
  • [14] White, S. 2000. Digital Signal Processing: A Filtering Approach, 1st ed., Delmar Cengage Learning, ISBN:0766815315.
  • [15] Wójcicki, Z., Grosel, J., Sawicki, W. 2014. Experimental dynamic investigation of structures, DWe, Wrocław, [in Polish].
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bb2748da-e7b3-4c38-8fb3-acaf1d396790
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