2113. Time-frequency techniques for modal parameters identification of civil structures from acquired dynamic signals
Carlos Andres Perez-Ramirez1,
Juan Pablo Amezquita-Sanchez2, Hojjat Adeli3,
1, 2, 4, 6, 7Faculty of
Engineering, Autonomous University of Queretaro, Campus San Juan del Rio,
3Department of Civil, Environmental,
and Geodetic Engineering, The Ohio State University,
5CA Telemática, DICIS,
University of Guanajuato, Carr. Salamanca-Valle de Santiago Km. 3.5 + 1.8
E-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org
Received 18 February 2016; received in revised form 10 May 2016; accepted 30 May 2016
Abstract. A major trust of modal parameters identification (MPI) research in recent years has been based on using artificial and natural vibrations sources because vibration measurements can reflect the true dynamic behavior of a structure while analytical prediction methods, such as finite element models, are less accurate due to the numerous structural idealizations and uncertainties involved in the simulations. This paper presents a state-of-the-art review of the time‑frequency techniques for modal parameters identification of civil structures from acquired dynamic signals as well as the factors that affect the estimation accuracy. Further, the latest signal processing techniques proposed since 2012 are also reviewed. These algorithms are worth being researched for MPI of large real-life structures because they provide good time-frequency resolution and noise‑immunity.
Keywords: modal parameters identification, time-frequency algorithms, wavelet transform, synchrosqueezing transform, civil structures, dynamic excitation sources.
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Cite this article
Perez‑Ramirez Carlos Andres, Amezquita‑Sanchez Juan Pablo, Adeli Hojjat, Valtierra‑Rodriguez Martin, Romero‑Troncoso Rene de Jesus, Dominguez‑Gonzalez Aurelio, Osornio‑Rios Roque Alfredo Time‑frequency techniques for modal parameters identification of civil structures from acquired dynamic signals. Journal of Vibroengineering, Vol. 18, Issue 5, 2016, p. 3164‑3185.
© JVE International Ltd. Journal of Vibroengineering. Aug 2016, Vol. 18, Issue 5. ISSN 1392-8716