TY - JOUR
T1 - Fully probabilistic analysis of FRP-to-concrete bonded joints considering model uncertainty
AU - Zhang, Dongming
AU - Gu, Xiang-Lin
AU - Yu, Qian-Qian
AU - Huang, Hongwei
AU - Wan, Baolin
AU - Jiang, Cheng
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - https://hdl.handle.net/1959.7/uws:62088
U2 - 10.1016/j.compstruct.2017.11.058
DO - 10.1016/j.compstruct.2017.11.058
M3 - Article
SN - 0263-8223
VL - 185
SP - 786
EP - 806
JO - Composite Structures
JF - Composite Structures
ER -