Technical Papers
Sep 8, 2020

Predictive Framework for FRP-Concrete Corrosion Repair

Publication: Journal of Composites for Construction
Volume 24, Issue 6

Abstract

Fiber-reinforced polymers (FRPs) have been used for repairing chloride-induced corrosion in steel for more than 40 years. Since FRP is a barrier element, it cannot stop electrochemical reactions responsible for corrosion of steel in concrete. The effect of ongoing corrosion can only be detected by inspectors after it has reached such an advanced state that rust stains become visible. This paper presents a predictive framework to estimate the rate of chloride-induced corrosion inside an FRP-concrete repair. Statistical methods were used to extend experimental data on oxygen permeation for one- and two-layer configuration to multilayer configurations. The model was calibrated by comparing its prediction against measured metal loss in specimens repaired using one to four FRP layers that were kept outdoors and subjected to simulated tidal cycles for longer than three years. The application of the model is illustrated by a numerical example.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors gratefully acknowledge the review and advice of Prof. Dr. Kandethody Ramachandran on the statistical analyses. Special thanks to Dr. Kwangsuk Suh for providing data from his testing in excel format.

Notation

The following symbols are used in this paper:
A
area that oxygen moles diffuse through;
CEW
environment and workmanship correction factor;
e
2.718281828;
L
number of FRP layers;
M
moles of oxygen;
N
oxygen permeation rate;
P
oxygen permeation;
Pconcrete
concrete oxygen permeation;
Pequ
equivalent FRP-concrete permeation in the equivalent thickness model;
PEW
FRP-concrete field-condition permeation coefficient;
PFRP
FRP oxygen-permeation coefficient;
PFRP-conc
FRP-concrete oxygen permeation;
pi
oxygen partial pressure inside concrete;
po
oxygen partial pressure on the exposed FRP surface;
p-value
the minimum α needed to reject null hypothesis;
R2
coefficient of determination;
rf
final rebar radius;
ro
initial rebar radius;
t
diffusion duration;
w/c
water/cementitious ratio;
x
thickness;
xconc
correction factor for concrete presence in FRP-concrete;
xFRP
−1 for CFRP and 1 for GFRP;
xN
2L – 3;
α
probability of rejecting a true null hypothesis;
ΔXconcrete
concrete cover thickness;
ΔXequ
equivalent thickness for FRP-concrete; and
ΔXFRP
FRP layer(s) thickness.

References

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Information & Authors

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Published In

Go to Journal of Composites for Construction
Journal of Composites for Construction
Volume 24Issue 6December 2020

History

Received: Mar 21, 2019
Accepted: Jul 14, 2020
Published online: Sep 8, 2020
Published in print: Dec 1, 2020
Discussion open until: Feb 8, 2021

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Authors

Affiliations

Mohammad A. Khawaja, S.M.ASCE
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of South Florida, Tampa, FL 33620.
Rajan Sen, F.ASCE [email protected]
Professor and Jefferson Science Fellow, Dept. of Civil and Environmental Engineering, Univ. of South Florida, Tampa, FL 33620 (corresponding author). Email: [email protected]
Venkat Bhethanabotla
Professor, Dept. of Chemical and Biomedical Engineering, Univ. of South Florida, Tampa, FL 33620.

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