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.

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).