Análisis espectral de alta resolución para la estimación de la frecuencia fundamental de edificios altos sometidos a terremotos
(High-resolution Spectral-analysis for Fundamental Frequency Estimation of High-rise Buildings subjected to Earthquakes)
Carlos Andres Perez Ramirez (email@example.com)1, Juan Pablo Amezquita Sanchez (firstname.lastname@example.org)1, Martin Valtierra Rodiguez (email@example.com)1, David Camarena Martinez (firstname.lastname@example.org)2, Aurelio Dominguez Gonzalez (email@example.com)3, Jesus Ronney Rivera Guillen (firstname.lastname@example.org)3, Omar Chavez Alegria (email@example.com)3
1Universidad Autonoma de Queretearo2Universidad de Guanajuato3Universidad Autonoma de Queretaro
This paper appears in: Revista IEEE América Latina
Publication Date: Dec. 2015
Volume: 13, Issue: 12
Accurate estimation of the fundamental frequency of civil structures is crucial for many applications; in particular, this estimation becomes more important when it helps to avoid or minimize human, economic, and structural damages as the case of the design and analysis of high-rise buildings subjected to earthquakes. Although many techniques have been proposed for this task, several aspects such as accuracy, noise immunity, and suitable time-frequency resolution have not been adequately addressed. In this work, the short-time multiple signal classification (ST-MUSIC), a high-resolution spectral-analysis technique, is proposed to estimate the fundamental frequency of high-rise buildings using vibration signals. The proposal is validated and tested using synthetic signals and real measurements. In the latter, the fundamental frequency of a high-rise building, 1:20 scale model, is estimated before-, during-, and after-seismic excitation through the analysis of the generated vibrations. For comparison purposes, the short-time Fourier transform (STFT), a conventional time-frequency technique, is also used. The obtained results show a high accuracy and noise immunity in the analysis, which makes the proposal a suitable and reliable tool for this task.
High-rise biuldings, multiple signal classification, time-frequency analysis, vibration analysis, fundamental frequency
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