Detection of Building Response Changes Using Deconvolution Interferometry: A Case Study in Bogota, Colombia

Jaimes, Nathalia; Prieto, G. A.; Rodríguez, Carlos Fernández

doi:10.1785/0220210219

Cited by 4 publications

(1 citation statement)

References 38 publications

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“…With the rapid development of the global economy, the number of high-rise buildings is increasing worldwide, which has attracted increasing attention toward structural health monitoring (SHM) (Gallipoli et al 2009). The combined use of seismometers for measuring dynamic vibrations and environmental sensors for measuring climate to identify structural motions and their mechanisms is usually characterized by the resonant frequencies of high-rise buildings and their in uencing factors (Guillier et al 2016;Shan et al 2020;Wu et al 2020;Jaimes et al 2021), because it is of great signi cance for the future structural design of high-rise buildings for earthquake prevention and disaster reduction (Moser and Moaveni 2011).…”

Section: Introductionmentioning

confidence: 99%

Six-component seismic monitoring of a high-rise building

Qin

Wang

Chen

et al. 2023

Preprint

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We report seismic observations and studies on a high-rise building deployed with six-degree-of-freedom (6-DOF) seismometers. By analyzing the horizontal-to-vertical spectral ratios (HVSRs) of translational components, five resonant modes within 2 Hz are identified. By analyzing the improved rotational vertical-to-horizontal spectral ratios (RVHSRs) of rotational components, three torsional resonant modes are identified; two torsional resonant modes are consistent with those of the translational records, while the higher frequency mode is not observed in the translational motions. Continuous 6C seismic observations over 70 days indicate that the various resonant frequencies of high-rise buildings are related to multiple factors, such as human activity and rainfall levels. The most interesting phenomenon is that three translational resonant modes exhibit diurnal variations; two torsional resonant modes do not have the same trend as translational resonances, which indicates that the translational and torsional resonant modes of the building possibly have different physical mechanisms. In addition, analyses of ambient noises with the directional HVSR method and analyses of vibration caused by earthquakes commonly show that building vibration is directional; furthermore, there are nonpositive correlations of displacements between the middle and top floors of the high-rise building under multiple earthquake events. The nonlinear response of the high-rise building concerning the height is consistent with the responses reported in former studies.

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Section: Introductionmentioning

confidence: 99%

Six-component seismic monitoring of a high-rise building

Qin

Wang

Chen

et al. 2023

Preprint

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Time-varying damping ratios and velocities in a high-rise during earthquakes and ambient vibrations from coda wave interferometry

Prieto,

Kohler

2024

Earthquake Spectra

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Coda wave interferometry is applied to data from Community Seismic Network MEMS accelerometers permanently installed on nearly every floor of a 52-story steel moment-and-brace frame building in downtown Los Angeles. Wavefield data from the 2019 M7.1 Ridgecrest, California earthquake sequence are used to obtain impulse response functions, and time-varying damping ratios and shear-wave velocities are computed from them. The coda waves are used because of their increased sensitivity to changes in the building’s properties, and the approach is generalized to show that a building’s nonlinear response can be monitored through time-varying measurements of representative pseudo-linear systems in the time domain. The building was not damaged, but temporary nonlinear behavior observed during the strong motions provides a unique opportunity to test this method’s ability to map time-varying properties. Reference damping parameters and velocities are obtained from a month-long period during which no significant seismic activity had occurred. Damping ratios measured over narrow frequency bands increase by up to a factor of 4 over short time durations spanning the main shock, as well as M > 4.5 aftershocks and a foreshock. The largest damping ratio increases occur for the highest frequencies, and the increase is attributed to friction associated with structural and non-structural surface discontinuities which experience relative motion and impact during shaking, resulting in energy loss. Shear-wave velocities in the building’s east–west and north–south directions are found by applying a waveform stretching method to the direct and coda waves. The broadband velocities are reduced by as much as 10% during building shaking, and their restoration to pre-earthquake levels is found to be a function of shaking amplitudes. Until recently, these techniques had been limited by temporal and spatial sparsity of measurements, but in this study, variations of the impulse response functions are resolved over time scales of tens of seconds and on a floor-by-floor spatial scale.

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The Multitaper Spectrum Analysis Package in Python

Prieto

2022

Seismological Research Letters

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Spectral analysis has been a fundamental tool in analyzing seismic signals for studying the earthquake source, propagation of seismic waveforms through the Earth, and even monitoring changes in Earth’s structure. I present an open-source Python package, multitaper, for spectral analysis using the multitaper algorithm. The package not only includes power spectral density estimation (with confidence intervals) but also includes bivariate problems such as coherence, dual-frequency correlations, and deconvolution estimation. Implementation of the sine and quadratic multitaper algorithms is also available. For the reader to quickly learn how to use the package, I briefly present several examples using earthquake records from the 2019 Mw 6.0 Mesetas, Colombia, earthquake and its aftershocks recorded at regional distances for estimating time–frequency spectrograms, spectral ratio and source time functions, and correlations between neighboring frequencies. Jupyter Notebooks are shared to reproduce the figures.

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Detection of Building Response Changes Using Deconvolution Interferometry: A Case Study in Bogota, Colombia

Cited by 4 publications

References 38 publications

Six-component seismic monitoring of a high-rise building

Six-component seismic monitoring of a high-rise building

Time-varying damping ratios and velocities in a high-rise during earthquakes and ambient vibrations from coda wave interferometry

The Multitaper Spectrum Analysis Package in Python

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