Time and Frequency Domain Transformations in the structural Identification


Beyen K.

PACE-2021 International Congress on the Phenomenological Aspects of Civil Engineering, Erzurum, Türkiye, 20 - 23 Haziran 2021, cilt.1, sa.1, ss.39-54

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: Erzurum
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.39-54
  • Kocaeli Üniversitesi Adresli: Evet

Özet

This research reviews the development and application of time domain and frequency domain transformations in the field of structural identification and particularly in the structural health monitoring (SHM) practices in the last half century. The challenges in conventional transformations and future trends are discussed in the light of the development of Time-Frequency domain techniques for the SHM of civil engineering structures. Fourier Transform, short time Fourier transform, Laplace transform, Wavelet transforms, and Hilbert transforms are exemplified as some currently used transformations in data mining studies in engineering practice. Feature extraction is mostly based on the conventional parametric modelling in identification studies in time and frequency domains. The SHM operation covers the operational evaluation during monitoring the structure, data acquisition, fusion, cleansing, feature extraction, and decomposition. Time-Frequency analysis shows that the values of the structural parameters are considerably changing under operational conditions as observed from field measurements. Fluctuating values or stability information extracted from SHM data continuously reflect the seasonal, temporal or permanent state under different triggering sources under environmental conditions and internally developing stresses and strains. In fact, the recorded responses are indirect observations of unobservable effects underlying several factors.  One of them might be nonlinear dynamic responses. Using Time-Frequency analysis techniques, system identification on a real structure may give the possibility to trace the buried signals to identify the structural behavior, damage or progressive deterioration including the source and collapse mechanism. If the whole structure is instrumented dense enough including every structural member, it will be possible to monitor the health of the structure even at the sensitivity of the capacity exceedance or the condition before the crack or flaw initiations. At the member sensitivity level, structural performance will be automatically assessed tracking the stress-strain variations of the structural frame in near future. From announcing to repairing the vulnerability will be the solution plan after information collection through the SHM network. For such an automated structural control, direct practical results that can be obtained from Time-Frequency techniques will be available and then can be used effectively by a decision maker unit.

 

Time Frequency analysis may affect and improve the building codes for a risk consistent structural design. The future revisions of aseismic design and condition assessment methodologies will use the time-frequency domain analysis to better understand the chaotic natural forces and their responses. Time-Frequency analysis that promises new horizons will affect and improve the current procedures, check points and limits to artificially generate the seismic ground motions or evaluate the recorded strong ground motions for the time domain analysis.