عنوان مقاله [English]
A parameter that quantitatively represents the strength of a ground motion is called Intensity Measure (IM). The value of an IM for a given hazard level is the output parameter of Probabilistic Seismic Hazard Analysis (PSHA) which is used in structural seismic analysis. In other words, an intensity measure is a link between PSHA and structural seismic analysis. The main desirable features of an appropriate IM are efficiency and sufficiency. The importance of using an appropriate IM is that the seismic performance assessment of structures can be performed more realistically. In this study, the performance of different scalar IMs to predict the collapse capacity of low to mid-rise steel Special Moment Resisting Frames (SMRFs) was evaluated. For this purpose, 3, 6 and 9-story steel SMRFs designed for the SAC project were simulated by OpenSees and the collapse capacity of these structures were determined by using incremental dynamic analyses under 67 far-field ground motion records. After calculating the collapse capacity values by using scalar IMs existing in the technical literature which are classified into structure and non-structure specific IMs, the performance of IMs including efficiency and sufficiency with respect to magnitude, source-to-site distance, and average shear-wave velocity at the upper 30 m was compared.
 Wyllie, L. A. and Filson, J. R. (1989). Special supplement Armenia earthquake reconnaissance report. Earthquake Spectra, 1-175.
 Ambraseys, N. N., Melville, C. P., & Adams, R. D. (2005). The seismicity of Egypt, Arabia and the Red Sea: a historical review. Cambridge University Press, 1-173.
 Kircher, C. A., Reitherman, R. K., Whitman, R. V., & Arnold, C. (1997). Estimation of earthquake losses to buildings. Earthquake spectra, 13(4), 703-720.
 Krawinkler, H. (2005). Van Nuys hotel building testbed report: exercising seismic performance assessment. PEER Report 2005/11. Pacific Earthquake Engineering Research Center. University of California, Berkeley, CA.
 Cornell, C. A., & Krawinkler, H. (2000). Progress and challenges in seismic performance assessment. PEER Center News, 3(2), 1-3.
 Shome, N., & Cornell, C. A. (1999). Probabilistic seismic demand analysis of nonlinear structures. PEER Report No. RMS-35, Pacific Earthquake Engineering Research Center. University of California, Berkeley, CA.
 Luco, N. (2002). Probabilistic seismic demand analysis, SMRF connection fractures, and near-source effects. Ph.D. thesis, Dept. of Civil and Environmental Engineering, Stanford University, California.
 Kramer, S. L., & Mitchell, R. A. (2006). Ground motion intensity measures for liquefaction hazard evaluation. Earthquake Spectra, 22(2), 413-438.
 Shome, N., Cornell, C. A., Bazzurro, P., & Carballo, J. E. (1998). Earthquakes, records, and nonlinear responses. Earthquake Spectra, 14(3), 469-500.
 Cordova, P. P., Deierlein, G. G., Mehanny, S. S., & Cornell, C. A. (2000, September). Development of a two-parameter seismic intensity measure and probabilistic assessment procedure. In: The Second US-Japan Workshop on Performance-Based Earthquake Engineering Methodology for Reinforced Concrete Building Structures. Japan, 187-206.
 Bojórquez, E., & Iervolino, I. (2011). Spectral shape proxies and nonlinear structural response. Soil Dynamics and Earthquake Engineering, 31(7), 996-1008.
 Eads, L., Miranda, E., & Lignos, D. G. (2015). Average spectral acceleration as an intensity measure for collapse risk assessment. Earthquake Engineering & Structural Dynamics, 44(12), 2057-2073.
 Arias, A. (1970). A measure of earthquake intensity. In: Seismic Design for Nuclear Power Plants, (R J Hansen, ed.), Cambridge, MA: MIT Press, 438-483.
 Park, Y. J., Ang, A. H. S., & Wen, Y. K. (1985). Seismic damage analysis of reinforced concrete buildings. Journal of Structural Engineering, 111(4), 740-757.
 Benjamin, J. R. (1988). A Criterion for Determining Exceedances of the Operating Basis Earthquake. EPRI Report NP-5930. Electric Power Research Institute, Palo Alto.
 Fajfar, P., Vidic, T., & Fischinger, M. (1990). A measure of earthquake motion capacity to damage medium-period structures. Soil Dynamics and Earthquake Engineering, 9(5), 236-242.
 Mackie, K., & Stojadinovic, B. (2003). Seismic demands for performance-based design of bridges. PEER Report 2003/16. Pacific Earthquake Engineering Research Center. University of California, Berkeley, CA.
 Von Thun, J., Roehm, L., Scott, G., & Wilson, J. (1998). Earthquake ground motions for design and analysis of dams. In: Earthquake Engineering and Soil Dynamics II—Recent Advances in Ground-Motion Evaluation. New York: ASCE, 463–481.
 Housner, G. W. (1952). Spectrum intensities of strong motion earthquakes. In Proceedings of the symposium on earthquake and blast effects on structures. Earthquake Engineering Research Institute.
 Bradley, B. A. (2011). Empirical equations for the prediction of displacement spectrum intensity and its correlation with other intensity measures. Soil Dynamics and Earthquake Engineering, 31(8), 1182-1191.
 Krawinkler, H. (2000). State of the art report on systems performance of steel moment frames subject to earthquake ground shaking. Report no. FEMA-355C, SAC Joint Venture.
 McKenna, F., Fenves, G. L., & Scott, M. H. (2000). Open system for earthquake engineering simulation. University of California, Berkeley, CA.
 Lignos, D. G., & Krawinkler, H. (2010). Deterioration modeling of steel components in support of collapse prediction of steel moment frames under earthquake loading. Journal of Structural Engineering, 137(11), 1291-1302.
 Vamvatsikos, D., & Cornell, C. A. (2002). Incremental dynamic analysis. Earthquake Engineering & Structural Dynamics, 31(3), 491-514.
 Yakhchalian, M., Ghodrati Amiri, G., & Nicknam, A. (2014). A new proxy for ground motion selection in seismic collapse assessment of tall buildings. The Structural Design of Tall and Special Buildings, 23(17), 1275-1293.
 Vamvatsikos, D., & Cornell, C. A. (2005). Developing efficient scalar and vector intensity measures for IDA capacity estimation by incorporating elastic spectral shape information. Earthquake engineering & structural dynamics, 34(13), 1573-1600.
 Tsantaki, S., Jäger, C., & Adam, C. (2012). Improved seismic collapse prediction of inelastic simple systems vulnerable to the P-delta effect based on average spectral acceleration. In 15th World Conference on Earthquake Engineering. Lisbon, Portugal.