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Title: Fully probabilistic analysis of FRP-to-concrete bonded joints considering model uncertainty
Authors: Zhang, D
Gu, XL
Yu, QQ
Huang, H
Wan, B
Jiang, C 
Keywords: Bond strength
Model uncertainty
Multiple regression analysis
Reliability analysis
Issue Date: 2018
Publisher: Elsevier Ltd
Source: Composite structures, 2018, v. 185, p. 786-806 How to cite?
Journal: Composite structures 
Abstract: This work presents a full reliability-based analysis framework for fiber-reinforced polymer (FRP)-to-concrete bonded joints considering model uncertainty. Eight frequently used bond strength models for FRP-to-concrete bonded joints were calibrated by defining a model factor. A total of 641 well-documented tests were considered. Four of the eight models had model factors that correlated with input design parameters and the systematic part of the model factor was removed by a regression equation f. By doing this type of characterization, all eight model factors could be comparatively uniform and described by lognormally distributed random variables. The merit of the uniform model uncertainties after calibration for the eight models was established by the reliability analysis. This study improves the predictability of concrete strengthened with fiber composites and provides useful suggestions on their model uncertainties in engineering practice.
ISSN: 0263-8223
EISSN: 1879-1085
DOI: 10.1016/j.compstruct.2017.11.058
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