Title: Application of a Probabilistic Drift Capacity Model for Shear-Critical Columns

Author(s): L. Zhu, K.J. Elwood, T. Haukaas, and P. Gardoni

Publication: Symposium Paper

Volume: 236

Issue:

Appears on pages(s): 81-102

Keywords: bayesian updating; capacity; drift; fragility; probabilistic model; reinforced concrete column; shear failure

DOI: 10.14359/18211

Date: 5/1/2006

Abstract:
A probabilistic capacity model for the drift at shear failure for reinforced concrete columns with light transverse reinforcement is developed using a Bayesian methodology. Both the aleatory and epistemic uncertainties are properly incorporated in the probabilistic model. During the model formulation the key parameters influencing the drift capacity at shear failure are identified as the shear stress, the axial load ratio, the ratio of the spacing of the transverse reinforcement to the effective depth, and the aspect ratio. The drift capacity model is employed to formulate a fragility curve, with confidence bounds, for a column damaged during the Northridge Earthquake. Fragility curves developed for a range of parameters suggest that the spacing of the transverse reinforcement is the most important parameter in the determination of the probability of sustaining shear failure at a given drift demand.