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.