Cano-Saldaña, Leonardo

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    On time-frequency analysis for structural damage detection
    (2008) Cano-Saldaña, Leonardo; Martínez-Cruzado, José A.; College of Engineering; Saffar, Ali; López Rodríguez, Ricardo R.; Suarez Colche, Luís E.; Department of Civil Engineering; Portela, Genock
    An integrated study that explores the capability of Time-Frequency Analysis combined with another technique of signal analysis and system identification for damage detection purposes using only output signals is presented in this work. The necessary background theory of Time-Frequency Analysis is presented, some definitions of damage and general approach employed in this research is given. The problems associated with the selection of a best-performance Time-Frequency Representation (TFR) for structural damage detection in civil engineering structures are discussed and a new multicriteria measure for an objective and user-independent selection of Time-Frequency Representation is developed. An evaluation of the proposed multicriteria method to select a TFR from several Linear and Quadratic TFRs is shown using synthetic ambient vibration signals and real strong motion records. A new methodology for system identification and damage detection using output data from Ambient Vibration records is developed. This methodology is based on direct application of a proposed Mean Time-Frequency Representation (MTFR) and the Frequency Domain Decomposition (FDD), this last technique was developed by Brincker et. al. [124]. The methodology proposed in this work has been tested using synthetic and real ambient vibration signals. Several real case studies using ambient vibration data from structures are shown. The damage detection using Time-Frequency Representations of output records of strong events are addressed, in this regard a new algorithm for instantaneous frequency tracking from TFR maps is proposed and a mathematical expression to link instantaneous frequency changes with damping and structural stiffness loss is also developed. The expression and algorithms have been tested for damage analysis of non-linear SDOF and MDOF using numerical data. A Graphical User Interface (GUI) program named “Time-Frequency Damage Detection Program - TFDDP” has been developed using MatLab®[125] language; the developed algorithm has been published as a GNU – Licensed Open File, and can be downloaded from the Puerto Rico Strong Motion Program web page at the internet site: http://prsmp.uprm.edu/ or contacting to author of this research on the e-mail: leocano-s@hotmail.com