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Proceedings of the 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM 2014
DOI: 10.7712/120113.4519.c1334
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Predicting Floor Response Spectra for Rc Frame Structures

Abstract: Abstract. In the framework of performance-based earthquake engineering, a fundamental step in the assessment of buildings is the definition of models

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Cited by 4 publications
(3 citation statements)
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References 10 publications
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“…Among the considered spectral accelerations, that corresponding to a vibration period equal to 1 s is used as the conditioning intensity measure (i.e., S = S a (1 s )). Even if alternative intensity measures other than the spectral acceleration were found to be good predictors for seismic demand on NSC (especially for the case of floor accelerations, as shown, e.g., in ), S a is selected in this study because of its computability (i.e., availability of ground motion prediction equations and correlation equations as well ). The prediction equations of Boore and Atkinson and Campbell Bozorgnia are used to predict S a ( T i ) and AI , respectively, while the equation of Baker and Jayaram and that of Campbell and Bozorgnia are used for the prediction of the S a ( T i ) − S a ( T j ) correlation and the S a ( T i ) − AI correlation, respectively.…”
Section: Illustrative Examplementioning
confidence: 99%
“…Among the considered spectral accelerations, that corresponding to a vibration period equal to 1 s is used as the conditioning intensity measure (i.e., S = S a (1 s )). Even if alternative intensity measures other than the spectral acceleration were found to be good predictors for seismic demand on NSC (especially for the case of floor accelerations, as shown, e.g., in ), S a is selected in this study because of its computability (i.e., availability of ground motion prediction equations and correlation equations as well ). The prediction equations of Boore and Atkinson and Campbell Bozorgnia are used to predict S a ( T i ) and AI , respectively, while the equation of Baker and Jayaram and that of Campbell and Bozorgnia are used for the prediction of the S a ( T i ) − S a ( T j ) correlation and the S a ( T i ) − AI correlation, respectively.…”
Section: Illustrative Examplementioning
confidence: 99%
“…In order to limit the number of parameters to be used for a probabilistic characterization of the FRS, the method proposed by [7] and later used in [8] is adopted. According to this method, at each floor level the spectrum is characterized by three ordinates only (named peak component acceleration demands): the ordinate corresponding to a component period value equal to 0 (i.e., the peak floor acceleration PFA), and the peak ordinates of the spectra calculated in the short-and in the fundamental-period region (FAS2 and FAS1, respectively).The boundaries of the two period regions are 0-0.5T 1 and 0.5T 1 -2.0T 1 , respectively, where T 1 denotes the fundamental period of the structure.…”
mentioning
confidence: 99%
“…Even if alternative intensity measures than the spectral acceleration were found to be good predictors for seismic demand on non-structural components (especially for the case of floor accelerations, as shown e.g. in [23,24,25]), S a is selected in this study because of its computability (i.e., availability of ground motion prediction equations, and correlation equations as well). The prediction equations of Boore and Atkinson [19] and Campbell Bozorgnia [19] are used to predict the S a (T i ) and AI values, respectively, while the equation of Baker and Jayaram [22] and that of Campbell and Bozorgnia [19] is used for the prediction of the S a (T i ) -S a (T j ) correlation and the S a (T i ) -AI correlation, respectively.…”
Section: Ground Motionsmentioning
confidence: 99%