1D system identification of buildings during earthquakes by seismic interferometry with waveform inversion of impulse responses—method and application to Millikan library

Rahmani, Mohammadtaghi; Todorovska, Maria I.

doi:10.1016/j.soildyn.2012.09.014

Cited by 52 publications

(84 citation statements)

References 52 publications

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“…Those estimates appear to be robust and are realistic for all buildings for which such 1-D modeling is possible, and where earthquake damage has been documented and can be used to verify the modeling assumptions. However, more-detailed building models can and do provide more accurate estimates of changes in f 1 [90,94,75,76,[77][78][79]28,29]. Buildings with large plan dimensions relative to their height will require two-and occasionally threedimensional models, preferably with anisotropic properties.…”

Section: Discussionmentioning

confidence: 99%

Detection thresholds in structural health monitoring

Trifunac¹,

Ebrahimian²

2014

Soil Dynamics and Earthquake Engineering

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Section: Discussionmentioning

confidence: 99%

Detection thresholds in structural health monitoring

Trifunac¹,

Ebrahimian²

2014

Soil Dynamics and Earthquake Engineering

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“…The velocity for the first floors is estimated by matching the empirical IRFs and the theoretical ones, obtained considering a shear-beam model (e.g. Rahmani and Todorovska, 2013) and varying the model characteristics until the best fit is obtained. The code developed by Wang (1999) is considered for the determination of the vertical propagation of SH-waves in a layered medium.…”

Section: Velocity and Attenuationmentioning

confidence: 99%

“…Chopra, 1996) or at the properties of seismic waves propagating within the building (waveform approach, e.g., Kanai, 1965;Todorovska and Trifunac, 1990;Snieder and Şafak, 2006;Todorovska, 2009;Rahmani and Todorovska, 2013;Nakata et al, 2013). Dynamic characterization of civil engineering structures (frequencies, mode shapes, damping ratios) is of major importance in a wide range of research and application fields, such as dynamic response prediction, finite element model updating, 1 structural health monitoring and vibration control engineering.…”

Section: Introductionmentioning

confidence: 99%

“…The interferometric approach has been widely used to evaluate the shear wave velocity and attenuation inside the building using earthquake data (e.g. Snieder and Şafak, 2006;Kohler et al, 2007;Nakata et al, 2013;Rahmani and Todorovska, 2013). The deconvolution removes the dependency on the source excitation and, differently from the vibrational approach, the effect of the coupling with the ground (Snieder and Şafak, 2006;Todorovska, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Seismic response of an 8-story RC-building from ambient vibration analysis

Bindi

Petrović

Karapetrou

et al. 2014

Bull Earthquake Eng

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In this study, we assess the dynamic characteristics of a 8-story RC-building composed by two units connected through a structural joint. This building, belonging to one of the largest hospitals in northern Greece, has been selected in the framework of an European funded project (REAKT) as test site for developing a Structural Health Monitoring system and it is instrumented with a permanent strong motion network. The assessment of the dynamic characteristics is performed using ambient vibration recorded by a temporary seismic network installed inside the structure. Non-parametric identification methods, namely the Peak Picking and Frequency Domain decomposition, are applied to perform operational modal analysis and extract the natural frequencies and mode shapes of the structural system. Since the detection of changes in the shear wave velocity inside the building is relevant for Health Monitoring analysis, we use the ambient vibration recordings to perform a deconvolution interferometry. Moreover, a shear-beam model is considered to estimate the velocity in the first three floors, where the distribution of internal sources introduces complex patterns in the impulse response functions. The velocity for lowest part of the building is estimated by optimizing the match between the arrival times of the empirical and theoretical pulses. Finally, the velocities and quality factors estimated from ambient vibration analysis are consistent with preliminary results obtained analyzing earthquake data recorded in the same building.

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“…Empirical studies (e.g., Chavez-Garcia and Cardenas-Soto, 2002;Ditommaso et al, 2010) have provided evidence of both soil-structure interaction and of the influence of a single vibrating building on the free-field ground motion. Since Snieder and Şafak (2006), several studies (e.g., Ditommaso et al, 2009;Picozzi et al, 2009;Newton and Snieder, 2012;Nakata et al, 2013Nakata et al, , 2015Rahmani and Todorovska, 2013;Nakata and Snieder, 2014;Cheng et al, 2015) have focused their attention on the study of wave propagation in buildings by using deconvolution interferometry. When coupled with standard engineering approaches such as modal analysis using frequency domain decomposition (Brincker et al, 2001) or Fourier spectral analysis of an earthquake, active and/or passive source measurements, this approach allows the separation of the building's dynamic behavior from that arising from the soil-structure interaction.…”

Section: Introductionmentioning

confidence: 99%

Joint Deconvolution of Building and Downhole Strong‐Motion Recordings: Evidence for the Seismic Wavefield Being Radiated Back into the Shallow Geological Layers

Petrović

Parolai

2016

Bulletin of the Seismological Society of America

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In this study, the strong-motion recordings collected by a vertical array of borehole sensors and a network of accelerometers installed in a nearby building (distance between borehole and building ∼10 m) are innovatively jointly analyzed through wavefield-deconvolution analysis. The analysis shows complicated patterns in the deconvolved wavefield of the borehole sensors that are interpreted by taking advantage of synthetic seismograms generated considering vertically propagating plane waves in the soil and building. Using a constrained deconvolution approach, we show that it is possible to separate the different components of the wavefield and, in particular, to retrieve the input ground motion and the wavefield radiated back by the building at different levels in the borehole, without a priori information about the attenuation structure (and velocity) of the building and soil. This therefore allows the energy radiated back by the structure at different depth to be estimated, which, in the case of the bottom of the borehole (at −145 m), is of the order of 10% of the energy of the input wavefield in the 1-10 Hz frequency band.

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1D system identification of buildings during earthquakes by seismic interferometry with waveform inversion of impulse responses—method and application to Millikan library

Cited by 52 publications

References 52 publications

Detection thresholds in structural health monitoring

Detection thresholds in structural health monitoring

Seismic response of an 8-story RC-building from ambient vibration analysis

Joint Deconvolution of Building and Downhole Strong‐Motion Recordings: Evidence for the Seismic Wavefield Being Radiated Back into the Shallow Geological Layers

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