intensity measures for predicting the structural seismic demand in the framework of Performance-Based Earthquake Engineering (PBEE). Two representatives of those parameters are relative and absolute elastic input energy. In order to apply these two intensity measures into practical application in PBEE. Two efforts have been made in this study. Firstly, new improved ground motion prediction equations (GMPEs) was established for them by taking advantage of a large set of strong ground motions selected from the NGA database and considering the influence of more effects. Secondly, since these GMPEs only consider the marginal distribution of individual spectral values without giving any information about the joint distribution of the spectral values at different periods, we proposed new models for the prediction of the correlation coefficients of the energy-based spectral values at different periods or/and directions. In the end, some possible applications of the proposed models are discussed.
Prediction of energy-based intensity measures in performance-based earthquake engineering / Mollaioli, Fabrizio; Cheng, Yin; Lucchini, Andrea. - ELETTRONICO. - (2014). (Intervento presentato al convegno Second European Conference on Earthquake Engineering and Seismology tenutosi a Istanbul, Turkey nel 24-29 August, 2014).
Prediction of energy-based intensity measures in performance-based earthquake engineering
MOLLAIOLI, Fabrizio;LUCCHINI, Andrea
2014
Abstract
intensity measures for predicting the structural seismic demand in the framework of Performance-Based Earthquake Engineering (PBEE). Two representatives of those parameters are relative and absolute elastic input energy. In order to apply these two intensity measures into practical application in PBEE. Two efforts have been made in this study. Firstly, new improved ground motion prediction equations (GMPEs) was established for them by taking advantage of a large set of strong ground motions selected from the NGA database and considering the influence of more effects. Secondly, since these GMPEs only consider the marginal distribution of individual spectral values without giving any information about the joint distribution of the spectral values at different periods, we proposed new models for the prediction of the correlation coefficients of the energy-based spectral values at different periods or/and directions. In the end, some possible applications of the proposed models are discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.