The Impact of Isolation Parameters on Structural Responses due to Strong Earthquake Motion Processed by DWT

Yıl 2024, Cilt: 15 Sayı: 4, 933 - 939

Elif Çağda Kandemir

https://doi.org/10.24012/dumf.1529376

Öz

The parameters of the base isolation system play a significant role in structural responses as they directly affect the interaction between the structure and seismic excitation. This study focuses on investigating the impact of base isolation parameters on structural behavior under decomposed earthquake effects. The period and damping ratio of the isolator, which are inherently effective in determining characteristics such as stiffness and damping coefficients, were parametrically varied to discern their effects on the seismic behavior of the structure. Displacement of the base mat on the isolators and roof acceleration responses were obtained through time response analyses. To examine seismic input across different frequency ranges, discrete wavelet transformation was used to decompose the earthquake acceleration. A five-level decomposition was applied. Subsequently, time response analyses were conducted for the original earthquake acceleration scenario and the corresponding approximation coefficients. Decomposition levels yielding responses similar to those obtained under the original earthquake were identified. Additionally, the correlation between acceleration responses and the earthquake and approximation coefficients was calculated to figure out the effect of the frequency ranges of seismic excitation on the seismic behavior of the building. The adequate decomposition levels for the base-isolated structure have been presented. This analysis illustrates how various frequency ranges of seismic excitation impact the structural response by highlighting which decomposition levels are most representative of the original earthquake effects.

Anahtar Kelimeler

base isolation, discrete wavelet transform, earthquake, time response analysis

Proje Numarası

HIZDEP-MHF/2202

Kaynakça

• [1] J.M. Kelly, “Base Isolation: Linear Theory and Design”, Earthquake Spectra, vol. 6, no. 2, pp. 223-244, 1990.
• [2] T.T. Soong and Constantinou, M.C., “Passive and Active Structural Vibration Control in Civil Engineering”, Springer-Verlag: New York, NY, USA, 1994.
• [3] S.G. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation”, IEEE Trans Pattern Anal Mach Intell., vol. 11, pp. 674–93, 1989.
• [4] S.G. Mallat, “A wavelet tour of signal processing”, Elsevier, 1999.
• [5] I. Daubechies, “The wavelet transform, time-frequency localization and signal analysis”, IEEE Trans Inf Theory, vol. 36, pp. 961–1005, 1990.
• [6] R. Kamgar, R. Tavakoli, P. Rahgozar and R. Jankowski, “Application of discrete wavelet transform in seismic nonlinear analysis of soil–structure interaction problems” Earthquake Spectra, vol. 37, no.3, pp. 1980-2012, 2021.
• [7] R. Kamgar, M. Dadkhah and H. Naderpour, “Earthquake-induced nonlinear dynamic response assessment of structures in terms of discrete wavelet transform”, Structures, vol. 39, pp. 821-847, 2022.
• [8] M.R. Kaloop and J.W. Hu, “Seismic response prediction of buildings with base isolation using advanced soft computing approaches”, Advances in Materials Science and Engineering, vol. 2017, pp. 1-12, 2017.
• [9] A. Heidari, J. Raeisi and S. Pahlavan Sadegh, “A new method for calculating earthquake characteristics and nonlinear spectra using wavelet theory”, Journal of Rehabilitation in Civil Engineering, vol. 8, no. 1, pp. 50-62, 2020.
• [10] A. Heidari, J. Raeisi and R. Kamgar, “Application of wavelet theory with denoising to estimate the parameters of an earthquake”, Scientia Iranica, vol. 28, no. 1, pp. 49-64, 2021.
• [11] E.C. Kandemir, "Alternate approach for calculating the optimum viscous damper size," Građevinar, vol. 75, no. 02, pp. 153-162, 2023.
• [12] E.C. Kandemir and R. Jankowski, "Effect of soil on the capacity of viscous dampers between adjacent buildings," Građevinar, vol. 75, no. 04, pp. 329-342, 2023.
• [13] Y. Yamamoto and J.W. Baker, “Stochastic model for earthquake ground motion using wavelet packets”, Technical Report Blume Center Report 176. Stanford, CA: Stanford University, 2011.
• [14] E.C. Kandemir and A. Mortazavi, "Optimizing base isolation system parameters using a fuzzy reinforced butterfly optimization: A case study of the 2023 Kahramanmaras earthquake sequence," Journal of Vibration and Control, vol. 30, no. 3-4, pp. 502-515, 2024.
• [15] E.C. Kandemir and A. Mortazavi, "Optimization of seismic base isolation system using a fuzzy reinforced swarm intelligence," Advances in Engineering Software, vol. 174, article 103323, 2022.
• [16] A. Mortazavi, "Size and layout optimization of truss structures with dynamic constraints using the interactive fuzzy search algorithm," Engineering Optimization, vol. 53, no. 3, pp. 369-391, 2021.
• [17] E.C. Kandemir, "Sismik taban izolatörlü yapıların yakın ve uzak fay depremleri altındaki davranışlarının dalgacık dönüşümü ile incelenmesi," Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 27, no. 2, pp. 257-268, 2022.
• [18] N. Arı, Ş. Özen and Ö.H. Çolak, "Dalgacık Teorisi (Wavelet), Matlab Uygulamaları ile," Palme Yayıncılık, Ankara, 2008.
• [19] M. Misiti, Y. Misiti, G. Oppenheim and J.M. Poggi, "Wavelet Toolbox," The MathWorks, 2004.
• [20] A.Alhan and M. Sürmeli, "Shear building representations of seismically isolated buildings," Bulletin of Earthquake Engineering, vol. 9, pp. 1643, 2011.