Seismic Fragility of RC Structural Walls: Displacement Approach

Abstract

The Bayesian parameter estimation technique is used to develop probabilistic displacement capacity and demand models for reinforced concrete (RC) structural walls. These models are used to assess the seismic fragility of an example RC structural wall. Experimental data are used to develop the capacity model, and nonlinear dynamic analysis is employed to develop the demand model. In the course of developing the capacity model, probabilistic models are also developed for the plastic hinge length, the maximum usable strain of confined concrete including the effect of strain concentration, and the cyclic curvature capacity of the cross section of the wall. The probabilistic models developed in this paper are applicable to a large class of RC structural walls.