EFFICIENCY ASSESSMENT OF SCALAR INTENSITY MEASURES IN PREDICTING ENGINEERING DEMAND PARAMETERS

How to select strong ground motion records (SGMRs) as the input of the Nonlinear Time History Analysis (NLTHA) is an important challenge because of its significant influence on the response analysis. In the probabilistic based earthquake engineering, the seismic demand will be most valuable, if the dispersion around the mean is reduced, so finding methods to selection and/or scaling of the SGMRs which can reduce the response dispersion is very important. Strong ground motion intensity measures (IMs) are important parameters which can play an important role in the selection and scaling of SGMRs. The main purpose of this paper is to show how the application of different IMs affects the results of nonlinear time history analysis. For this purpose, a 3-story 3-D steel moment frame subjected to a set of 66 SGMRs. The results illustrate that, the sensitivity of the results of NLTHA to the selected IMs are significantly different, So use of the appropriate parameters in the selection and scaling procedure can reduce the dispersion of NLTHA

Keywords:

Nonlinear Time History Analysis , Record Selection And Scaling , Intensity Measures , Engineering Demand Parameter , Probabilistic Based Earthquake Engineering