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Failure Initiation of Reinforced-Concrete Beam-Column Connections — Binomial Logistic Regression Based Probabilistic Model

Failure Initiation of Reinforced-Concrete Beam-Column Connections — Binomial Logistic Regression... The inelastic mechanisms leading to failure (characterized by strength degradation) initiation in a weak-beam-strong-column reinforced concrete beam-column (RCBC) frame connection subjected to seismic loading are either non-ductile joint failure prior to beam yielding or a ductile mechanism of beam yielding followed by joint failure. Using an extensive assembled database of interior and exterior beam-column joints, binomial logistic regression models are developed to provide a probabilistic estimate of qualitative inelastic mechanisms based on quantitative design parameters obtained from specimen material and geometry. The relative importance of these quantitative parameters is also quantified in this research. The models provide opportunity to an engineer designing new connection to modify geometrical and/or material parameters to obtain ductile mode of response; an engineer retrofitting damaged connection to obtain an understanding of factors influencing initiation of strength degradation and thereby develop suitable retrofit measures for similar connections at eminent risk of failure. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Structural Engineering SAGE

Failure Initiation of Reinforced-Concrete Beam-Column Connections — Binomial Logistic Regression Based Probabilistic Model

Advances in Structural Engineering , Volume 15 (1): 17 – Jan 1, 2012

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Publisher
SAGE
Copyright
© 2012 SAGE Publications
ISSN
1369-4332
eISSN
2048-4011
DOI
10.1260/1369-4332.15.1.121
Publisher site
See Article on Publisher Site

Abstract

The inelastic mechanisms leading to failure (characterized by strength degradation) initiation in a weak-beam-strong-column reinforced concrete beam-column (RCBC) frame connection subjected to seismic loading are either non-ductile joint failure prior to beam yielding or a ductile mechanism of beam yielding followed by joint failure. Using an extensive assembled database of interior and exterior beam-column joints, binomial logistic regression models are developed to provide a probabilistic estimate of qualitative inelastic mechanisms based on quantitative design parameters obtained from specimen material and geometry. The relative importance of these quantitative parameters is also quantified in this research. The models provide opportunity to an engineer designing new connection to modify geometrical and/or material parameters to obtain ductile mode of response; an engineer retrofitting damaged connection to obtain an understanding of factors influencing initiation of strength degradation and thereby develop suitable retrofit measures for similar connections at eminent risk of failure.

Journal

Advances in Structural EngineeringSAGE

Published: Jan 1, 2012

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