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Abstract. One of the important steps in seismic collapse assessment of structures, using nonlinear dynamic analyses, is the appropriate selection of ground motion records. Epsilon (" Sa ), eta (), and gamma ( ) for long-period structures are proxies recently proposed for Ground Motion Record Selection (GMRS). In this study, two parameters, named s , are proposed, which have considerable correlation with the collapse capacity of shortperiod structures having fundamental period less than 1 sec. One of these parameters is a linear combination of "Sa, epsilon of Pseudo Spectral Acceleration (PSA) at 1.5 times of the fundamental period of the structure (" Sa(1:5T 1 ) ), and " PGV . The other one is a linear combination of "Sa, " Sa(1:5T 1 ) and epsilon of spectrum intensity, "SI. To obtain and optimize s , the Particle Swarm Optimization (PSO) algorithm is applied. Since the parameters proposed as s have signi cant correlation with the collapse capacity of short-period structures, they can be used as e cient proxies for GMRS in seismic collapse assessment of short-period structures. The results show that GMRS using s leads to a reduction in the dispersion of structural collapse capacity in comparison with GMRS based on " Sa or .

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