Correlation between Pulse-Like Ground Motion Intensity Measures and Seismic Demands of Buildings with Three Structural Systems (Moment-Resisting Frames, Structural Walls and Combination of Moment-Resisting Frames and Shear Walls)

Document Type : Regular Paper

Authors

Department of Civil Engineering, Razi University, Kermanshah, Iran

Abstract

In this study, the distribution of correlation coefficients between maximum interstory drift ratio (MIDR) of multistorey building structures and ground motion characteristics intensity measures (IMs) is evaluated and compared.  For this purpose, a continuum beam model is used to estimate the MIDR of multistory building structure including higher mode effects. The MIDRs are computed for building structures with three different lateral resisting systems (structural walls, moment-resisting frames, and their combination) and fundamental periods that ranges from 0.05 to 10s. Nine different ground motion parameters of pulse-like ground motions including PGD, PGA, PGV, Ic, CAV, Ia, SMV, ESD, SMA are selected as ground motion characteristics IMs. The effects of the type of lateral resisting system and the acceleration pulse on the distribution of correlation coefficients are also considered in the study. Based on the assessment results, MIDRs in mid and long-period buildings show a high correlation to PGV, SED and SMV, while a low correlation occurs with respect to PGA and SMA. Also, type of lateral resisting system causes changes in the correlation coefficients and results showed that long-period shear wall structure gives lower coefficients with respect to other structural systems.

Highlights

  • Effects of higher modes, lateral resisting systems and acceleration pulse considered.
  • The SED and SMV IMs have a strong correlation with the MIDR of the building structure.
  • CAV is very sensitive to acceleration pulse.

Keywords

Main Subjects


[1] Moehle, J., & Deierlein, G. G. (2004). “A  framework methodology for performance-based earthquake engineering. Paper presented at Proceedings of the 13th World Conference on Earthquake Engineering (Paper No. 679). Vancouver, BC, Canada.
[2] Stewart, J. P., Chiou, S. J., Bray, J. D., Graves, R. W., Somerville, P. G., & Abrahamson, N. A. (2002). “Ground motion evaluation procedures for performance-based design.” Soil Dynamics and Earthquake Engineering, 22(9-12), 765–772. https://doi.org/10.1016/S0267-7261(02)00097-0
[3] Kramer, S. L. [1996] “Geotechnical Earthquake Engineering, Prentice Hall, Englewood Cliffs.
[4] Ebrahimian, H., Jalayer, F., Lucchini, A., Mollaioli, F., & Manfredi, G. (2015). “Preliminary ranking of alternative scalar and vector intensity measures of ground shaking.” Bulletin of Earthquake Engineering, 3(10), 2805–2840. https://doi.org/10.1007/s10518-015-9755-9
[5] Kohrangi, M, Bazzurro, P and Vamvatsikos, D (2016). “Vector and Scalar IMs in Structural Response Estimation, Part II: Building Demand Assessment.” Earthquake Spectra 32(3), 1525-1543. https://doi.org/10.1193/053115EQS080M
[6] Kostinakis, K., Fontara, I. K., & Athanatopoulou, A. M. (2018). “Scalar structure-specific ground motion intensity measures for assessing the seismic performance of structures: A review.” Journal of Earthquake Engineering, 22(4), 630–665. https://doi.org/10.1080/13632469.2016.1264323
[7] Hu, J., & Liu, H. (2019). “Identification of ground motion intensity measure and its application for predicting soil liquefaction potential based on the Bayesian network method. ”Engineering Geology, 248, 34-49. https://doi.org/10.1016/j.enggeo.2018.11.006
[8] Mollaioli, F., Lucchini, A., Cheng, Y., & Monti, G. (2013). “Intensity measures for the seismic response prediction of base-isolated buildings. ” Bulletin of Earthquake Engineering, 11(5), 1841-1866. https://doi.org/10.1007/s10518-013-9431-x
[9] Alvanitopoulos P F, Andreadis I and Elenas A2010Interdependence between damage indices and ground motion parameters based on Hilbert–Huang transform Meas. Sci. Technol. 21 025101.
[10] Pinzón, L. A., Vargas-Alzate, Y. F., Pujades, L. G., & Diaz, S. A. (2020). “A drift-correlated ground motion intensity measure: Application to steel frame buildings. ” Soil Dynamics and Earthquake Engineering, 132, 106096. https://doi.org/10.1016/j.soildyn.2020.106096
[11] Ghanbari, B., & Akhaveissy, A. H. (2020).  “Evaluation of characteristic peak ground acceleration (CPGA) as a ground motion intensity measure to reduce the dispersion of IDA curves.” https://doi.org/10.1007/s42107-020-00259-7
[12] Riddell, R. (2007). “On ground motion intensity indices.” Earthquake Spectra, 23(1), 147–173. https://doi.org/10.1193/1.2424748
[13] Mirrashid, M., & Naderpour, H. (2021). Innovative Computational Intelligence-Based Model for Vulnerability Assessment of RC Frames Subject to Seismic Sequence. Journal of Structural Engineering, 147(3), 04020350. DOI: 10.1061/(ASCE)ST.1943-541X.0002921.
[14] Miranda, E., & Akkar, S. D. (2006). “Generalized interstory drift spectrum. Journal of structural engineering, 132(6), 840-852. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:6(840)
[15] Khaloo, A. R., & Khosravi, H. (2008). “Multi-mode response of shear and flexural buildings to pulse-type ground motions in near-field earthquakes.” Journal of Earthquake Engineering, 12(4), 616-630. https://doi.org/10.1080/13632460701513132
[16] Yang, D., Pan, J., & Li, G. (2010). “ Interstory drift ratio of building structures subjected to near-fault ground motions based on generalized drift spectral analysis. ” Soil Dynamics and Earthquake Engineering, 30(11), 1182-1197. https://doi.org/10.1016/j.soildyn.2010.04.026
[17] Sahraei, A., & Behnamfar, F. (2014). “A drift pushover analysis procedure for estimating ”the seismic demands of buildings. Earthquake Spectra, 30(4), 1601-1618. https://doi.org/10.1193/030811EQS038M
[18] Alonso-Rodríguez, A., & Miranda, E. (2015). “Assessment of building behavior under near-fault pulse-like ground motions through simplified models.” Soil Dynamics and Earthquake Engineering, 79, 47-58. https://doi.org/10.1016/j.soildyn.2015.08.009
[19] Neam, A. S., & Taghikhany, T. (2016). “Prediction equations for generalized interstory drift spectrum considering near-fault ground motions.” Natural Hazards, 80(3), 1443-1473. https://doi.org/10.1007/s11069-015-2029-7
[20] Ghanbari, B., & Akhaveissy, A. H. (2017). “Effects of pulse-like ground motions parameters on inter- story drift spectra of multi-story buildings.” International Journal of Structural Engineering, 8(1), 60-73. 10.1504/IJSTRUCTE.2017.081671
[21] Ranaiefar, M. A., Hosseini, M. H., & Mansoori, M. R. (2019). Estimating Inter-Story Drift in High Rise Buildings with the Flexural and Shear Cantilever Beam and Mode-Acceleration Method. Journal of Rehabilitation in Civil Engineering7(2), 164-177.  https://10.22075/JRCE.2018.12200.1209
[22] Málaga-Chuquitaype, C., Psaltakis, M. E., Kampas, G., & Wu, J. (2019). “Dimensionless fragility analysis of seismic acceleration demands through low-order building models. ” Bulletin of Earthquake Engineering, 17(7), 3815-3845. https://doi.org/10.1007/s10518-019-00615-2
[23] Zhang, Y., He, Z., Lu, W., & Yang, Y. (2018). “A spectral-acceleration-based linear combination-type earthquake intensity measure for high-rise buildings. ” Journal of Earthquake Engineering, 22(8), 1479-1508. https://doi.org/10.1177/1369433219894237
[24] Soleimani, R., Khosravi, H., & Hamidi, H. (2019). Substitute Frame and adapted Fish-Bone model: Two simplified frames representative of RC moment resisting frames. Engineering Structures185, 68-89. https://doi.org/10.1016/j.engstruct.2019.01.127
[25] Yahyaabadi, A., & Tehranizadeh, M. (2012). “Development of an improved intensity measure in order to reduce the variability in seismic demands under near-fault ground motions. ” Journal of Earthquake and Tsunami, 6(02), 1250012. https://doi.org/10.1142/S1793431112500121
[26] Javadi, E., & Yakhchalian, M. (2019). “Selection of optimal intensity measure for seismic assessment of steel buckling restrained braced frames under near-fault ground motions.” Journal of Rehabilitation in Civil Engineering, 7(4), 114-133. 10.22075/JRCE.2018.14908.1278
[27] Dávalos, H., Heresi, P., & Miranda, E. (2020). “A ground motion prediction equation for filtered incremental velocity, FIV3. Soil Dynamics and Earthquake Engineering, 139, 106346. https://doi.org/10.1016/j.soildyn.2020.106346
[28] Dávalos, H., & Miranda, E. (2020). “Evaluation of FIV3 as an intensity measure for collapse estimation of moment-resisting frame buildings.” Journal of Structural Engineering, 146(10), 04020204. https://doi.org/10.1061/(ASCE)ST.1943541X.0002781
[29] Zengin, E., & Abrahamson, N. A. (2020). “A vector‐valued intensity measure for near‐fault ground motions.” Earthquake Engineering & Structural Dynamics, 49(7), 716-734. https://doi.org/10.1016/j.engstruct.2007.07.009
[30] Zengin, E., & Abrahamson, N. (2020). “Conditional Ground‐Motion Model for Damaging Characteristics of Near‐Fault Ground Motions Based on Instantaneous Power.” Bulletin of the Seismological Society of America, 110(6), 2828-2842. https://doi.org/10.1785/0120200124
[31] Palanci, M., & Senel, S. M. (2019). “Correlation of earthquake intensity measures and spectral displacement demands in building type structures.”Soil Dynamics and Earthquake Engineering, 121, 306-326. https://doi.org/10.1016/j.soildyn.2019.03.023
[32] Miranda, E., & Taghavi, S. (2005). “Approximate floor acceleration demands in multistory buildings. I: Formulation. Journal of structural engineering, 131(2), 203-211.https://doi.org/10.1061/(ASCE)0733 9445(2005)131:2(203)
[33] Baker, J. W. (2007). Quantitative classification of near-fault ground motions using wavelet analysis. Bulletin of the Seismological Society of America97(5), 1486-1501.
[34] Zhao, G. C., Xu, L., & Xie, L. (2016). Study on low-frequency characterizations of pulse-type ground motions through multi-resolution analysis. Journal of Earthquake Engineering20(6), 1011-1033. https://doi.org/10.1080/13632469.2015.1104761
[35] Zhao, G., Xu, L., Gardoni, P., & Xie, L. (2019). A new method of deriving the acceleration and displacement design spectra of pulse-like ground motions based on the wavelet multi-resolution analysis. Soil Dynamics and Earthquake Engineering119, 1-10. https://doi.org/10.1016/j.soildyn.2019.01.008
[36] Yalcin, O. F., & Dicleli, M. (2020). Effect of the high frequency components of near-fault ground motions on the response of linear and nonlinear SDOF systems: a moving average filtering approach. Soil Dynamics and Earthquake Engineering129, 105922. https://doi.org/10.1016/j.soildyn.2019.105922
[37] Chen, X., & Wang, D. (2020). Multi-pulse characteristics of near-fault ground motions. Soil Dynamics and Earthquake Engineering137, 106275. https://doi.org/10.1016/j.soildyn.2020.106275
[38] Chang, Z., De Luca, F., & Goda, K. (2019). “Near‐fault acceleration pulses and non‐acceleration pulses: Effects on the inelastic displacement ratio.” Earthquake Engineering & Structural Dynamics, 48(11), 1256-1276. https://doi.org/10.1002/eqe.3184
[39] Chang, Z., De Luca, F., & Goda, K. (2019). Automated classification of near‐fault acceleration pulses using wavelet packets. Computer‐Aided Civil and Infrastructure Engineering, 34(7), 569-585. https://doi.org/10.1111/mice.12437
[40] Razi, M., Vahdani, R., Gerami, M., & Farrokhshahi, F. (2019). “Seismic Fragility Assessment of Steel SMRF Structures under Various Types of Near and Far Fault Ground Motions.” Journal of Rehabilitation in Civil Engineering, 7(2), 86-100. 10.22075/JRCE.2018.11039.1179
[41] Arias A (1970). “A measure of earthquake intensity. In: Hansen R (ed) Seismic design for nuclear power plants. MIT Press, Cambridge.
[42] Reed, J. W., & Kassawara, R. P. (1990). A criterion for determining exceedance of the operating basis earthquake. Nuclear Engineering and Design, 123(2-3), 387–396. doi:10.1016/0029-5493(90)90259-Z. https://doi.org/10.1016/0029-5493(90)90259-Z
[43] Nuttli OW (1979) The relation of sustained maximum ground acceleration and velocity to earthquake intensity and magnitude. US Army Engineer Waterways Experiment Station, Vicksburg.