1 Ph.D. Student, School of Civil Engineering, College of Engineering, University of Tehran
2 Professor, School of Civil Engineering, College of Engineering, University of Tehran
3 M.Sc. Student, School of Civil Engineering, College of Engineering, University of Tehran
*Email: rohollah@ut.ac.ir
Online published on 7 February, 2013.
Probabilistic seismic demand model (PSDM) is one component of the second-generation performance based earthquake engineering (PBEE-2) framework developed by Pacific Earthquake Engineering Research (PEER) center. A representative relation between intensity measures (IMs) and engineering demand parameters (EDPs) forms the basis of the PSDM. This study aims to develop an optimal PSDM for typical pile-supported wharf structures using 2D numerical model of 5 centrifuge models tested at UC Davis campus and performing probabilistic seismic demand analysis (PSDA) under a pool of ground motion records. In PSDA the relation between certain EDPs and specific IMs is formulated by statistic nonlinear time-history analysis. For these structures, the optimal PSDM derived thorugh several IM_EDP pairs, should be practical, sufficient, effective and efficient. According to these criteria, in resulted IM-EDP pairs, Sa determined as the optimal IM and moment curvature ductility factor (μΦ), horizontal displacement of embankment and differential settlement between deck and behind land are considered for optimal local, intermediate and global EDP quantities, respectively. The Sa-displacement ductility factor (μd) determined as the best optimal IM-EDP pair. The results are useful to owners and designers for assessment seismic performance of pile-supported wharf structures.
Performance based earthquake engineering (PBEE), Probabilistic seismic demand model (PSDM), Pile–Supported Wharf, Engineering demand parameters (EDP), Intensity measure (IM)
