single-dr.php

JDR Vol.18 No.4 pp. 338-349
(2023)
doi: 10.20965/jdr.2023.p0338

Paper:

Wavelet Transform Method for the Evaluation of the Seismic Response of One Isolated Building in the Lima Metropolitan Area

Joseph Jaramillo*,† ORCID Icon, Miguel Diaz** ORCID Icon, Carlos Zavala** ORCID Icon, Koichi Kusunoki*** ORCID Icon, Italo Inocente* ORCID Icon, and Danty Otero* ORCID Icon

*Japan Peru Center for Earthquake Engineering Research and Disaster Mitigation (CISMID), National University of Engineering (UNI)
Av. Tupac Amaru 1150, Lima 15333, Peru

Corresponding author

**Faculty of Civil Engineering, National University of Engineering (UNI)
Lima, Peru

***Earthquake Research Institute, The University of Tokyo
Tokyo, Japan

Received:
January 7, 2023
Accepted:
April 10, 2023
Published:
June 1, 2023
Keywords:
structural health monitoring, wavelet transform, earthquake, seismic response, monitoring system
Abstract

Structural health monitoring based on vibration measurements is a process that implements the instrumentation of sensors and methodologies to provide information regarding the condition of a structure, which allows the evaluation of the safety and integrity of structural systems. Because of this, in the past decades, several algorithms have been developed; among them, the wavelet transform is considered an efficient method for the elimination of the error contained in the acceleration recorded by the sensors. However, due to the complex nature of earthquakes and the particularity of the structural systems, the parameters used by the wavelet transform for error elimination in the seismic response are frequently variable. This paper proposes a method to get the seismic response of a base-isolated building subjected to ground-strong motions through numerical simulations of a mathematical model of the structure, using synthetic records based on historical seismic events occurring in Peru. In this way, the research found that the optimal intrinsic parameters of the building correspond to an approximate frequency interval of 0.20 to 6.25 Hz. Finally, the results show that this method is valid and can be reliably applied in structural health monitoring systems.

Cite this article as:
J. Jaramillo, M. Diaz, C. Zavala, K. Kusunoki, I. Inocente, and D. Otero, “Wavelet Transform Method for the Evaluation of the Seismic Response of One Isolated Building in the Lima Metropolitan Area,” J. Disaster Res., Vol.18 No.4, pp. 338-349, 2023.
Data files:
References
  1. [1] M. Diaz, P. Gibu, L. Estacio, and R. Proano, “Implementation of Building Monitoring Network in Peru Under SATREPS Project,” J. Disaster Res., Vol.9, No.6, pp. 1001-1007, 2014.
  2. [2] A. Zenon, “Uniform Hazard Spectrum.” http://ppsh.sencico.gob.pe [Accessed November 20, 2022]
  3. [3] Japan Peru Center for Earthquake Engineering and Disaster Mitigation (CISMID), “Instalación de Sensores Sísmicos ITK-002 para el Monitoreo en Salud Estructural del Centro de Información e Investigación de la FIC-UNI,” 2016.
  4. [4] H. Gao et al., “Research on Vibration Sensor Based on Giant Magnetoresistance Effect,” Review of Scientific Instruments, Vol.90, No.10, 105001, 2019. https://doi.org/10.1063/1.5111076
  5. [5] M. Misiti, Y. Misiti, G. Oppenheim, and J.-M. Poggi, “Wavelet Toolbox User’s Guide,” The MathWorks, 2017.
  6. [6] I. Daubechies, “Ten Lectures on Wavelets,” Society for Industrial and Applied Mathematics, 1992. https://doi.org/10.1137/1.9781611970104
  7. [7] T. Takanami and G. Kitagawa, “Methods and Applications of Signal Processing in Seismic Network Operations,” Springer, 2003. https://doi.org/10.1007/BFb0117693
  8. [8] A. K. Chopra, “Dynamics of Structures: Theory and Applications to Earthquake Engineering,” 3rd Edition, Prentice Hall, 2007.
  9. [9] S. Sakakibara, “A Beginner’s Guide to Wavelets,” Tokyo Denki University Press, 1995 (in Japanese).

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on May. 19, 2024