Direct use of PGV for estimating peak nonlinear oscillator displacements


Akkar S., Kucukdogan B.

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, vol.37, no.12, pp.1411-1433, 2008 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 12
  • Publication Date: 2008
  • Doi Number: 10.1002/eqe.819
  • Title of Journal : EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
  • Page Numbers: pp.1411-1433
  • Keywords: peak ground velocity, inelastic spectral displacement, ground-motion predictive models, regression, seismic design/performance assessment, bilinear hysteretic model, STRENGTH-REDUCTION FACTORS, STRONG-MOTION RECORDS, NEAR-FAULT, GROUND VELOCITY, DEFORMATION DEMANDS, DESIGN, SPECTRA, RATIOS, ACCELERATION, SYSTEMS

Abstract

A predictive model is presented for estimating the peak inelastic oscillator displacements (S-d,S-ie) from peak ground velocity (PGV). The proposed model accounts for the variation of S-d,S-ie for bilinear hysteretic behavior under constant ductility (mu) and normalized lateral strength ratio (R) associated with postyield stiffness ratios of alpha = 0 and 5%. The regression coefficients are based on a ground-motion database that contains dense-to-stiff soil site recordings at distances of up to 30 km from the causative fault. The moment magnitude (M) range of the database is 5.2 <= M <= 7.6 and the ground motions do not exhibit pulse-dominant signals. Confined to the limitations imposed by the ground-motion database, the model can estimate S-d,S-ie by employing the PGV predictions obtained from the attenuation relationships (ground-motion prediction equations). In this way, the influence of important seismological parameters can be incorporated to the variation of S-d,S-ie in a fairly rationale manner. This feature of the predictive model advocates its implementation in the probabilistic seismic hazard analysis that employs scalar ground-motion intensity indices. Various case studies are presented to show the consistent estimations of S-d,S-ie by the proposed model. The error propagation in the S-d,S-ie estimations is also discussed when the proposed model is associated with attenuation relationships. Copyright (C) 2008 John Wiley & Sons, Ltd.