会议专题

RESEARCH ON THE SHEAR STRENGTH OF REINFORCED CONCRETE INTERIOR JOINT BASED ON BAYESIAN THEORY

  Reinforced concrete (RC) interior joint shear strength models are constructed using an experimental database in conjunction with a Bayesian parameter estimation method.The experimental database consists of RC beam-column connection test subassemblies that were subjected to quasi-static cyclic lateral loading and experienced joint shear failure.One type of interior joint shear strength models are developed.Bayesian methodologies for model construction Gardoni et al.(2002) introduced a Bayesian methodology for developing probabilistic shear capacity models of RC joints based on experimental observations.The probabilistic models were constructed by correcting the biases in existing deterministic models and by quantifying the remaining errors.The model considers all possible influence parameters on joint shear strength.And the model as the advised model for design contains those parameters left after a step-wise process that systematically identifies and removes the least important parameters affecting RC interior joint shear strength.Finally,Better agreement between experimental results and advised model results is identified by comparison with the current ACI 352R-02 RC joint shear strength model.

Reinforced concrete beam-column interior joint Bayesian parameter estimation experimental database shear strength

Tao Wu Ningning Wang Dayuan Li Xi Liu Guohua Xing

School of Civil Engineering, Changan University, Xian 710061, P.R.China

国际会议

The Twelfth International Symposium on Structural Engineering (第十二届结构工程国际研讨会)

武汉

英文

828-834

2012-11-17(万方平台首次上网日期,不代表论文的发表时间)