RESEARCH ON AXIAL COMPRESSION ULTIMATE STRENGTH OF FRP-CONFINED RECTANGULAR CONCRETE COLUMN BASED ON BAYESIAN THEORY

Abstract

Abstract: Based on Bayesian theory, the model parameter identification method can not only consider the influence of model error, but also obtain the most probable value of the parameters in the model, and quantitatively describe the uncertainty of each parameter. In order to obtain a more reasonable axial compression ultimate strength model of FRP-confined square and rectangular concrete columns, the existing experimental data are extensively compiled, and the existing ultimate strength model is evaluated. Four typical stress-strain curve shapes and three typical types of ultimate strength model are summarized. Based on the identification of the existing average strain rate calculation formulas, the parameter identification framework of the ultimate strength model based on Bayesian theory is established. The most probable value and covariance matrix of the model parameters are obtained by MATLAB programming. Based on the most probable values, a new model was proposed, which is consistent with the FRP-constrained circular concrete axial compression ultimate strength model. Compared with some existing ultimate strength models, the newly proposed model is more accurate in intensity prediction, and the model form is more scientific and reasonable.

Key words: ayesian theory, FRP confined concrete, ultimate strength model, parameter identification, composites

CLC Number:

TB332

CHEN Jing, LI Xiang-yu. RESEARCH ON AXIAL COMPRESSION ULTIMATE STRENGTH OF FRP-CONFINED RECTANGULAR CONCRETE COLUMN BASED ON BAYESIAN THEORY[J]. Composites Science and Engineering, 2020, 0(7): 58-67.

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