Technical Papers
Sep 24, 2024

Multiobjective Optimization of an Unbiased Model for Externally Bonded CFRP System Contributions to Shear Resistance in RC Beams

Publication: Journal of Composites for Construction
Volume 28, Issue 6

Abstract

Predicting the shear resistance of reinforced concrete (RC) beams strengthened with externally bonded reinforcement using carbon fiber–reinforced polymer (CFRP) materials poses a significant challenge due to the complex nonlinear relationship with beam features and the inherent randomness in shear failure events, driven by their brittle nature. This paper proposes a model employing a multiobjective optimization technique that both, enhances the accuracy and ensures unbiased predictions. To highlight the achieved improvement, a comparison is made between the performance of the proposed model and a series of well-established models in the literature. The proposed model presents superior predictive performance and a smaller coefficient of variation in the model error distribution than the models in the literature. In addition, it exhibits unbiased predictions, highlighting the advantages of incorporating multiobjective optimization. Furthermore, a modified demerit point classification is introduced and applied to all models, highlighting the superiority of the proposed model in producing more reliable and cost-effective predictions.

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Data Availability Statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study is a part of the project “Sticker—Innovative technique for the structural strengthening based on using CFRP laminates with multifunctional attributes and applied with advanced cement adhesives,” with the Reference POCI-01-0247-FEDER-039755. The first author also acknowledges the support provided by the FCT Ph.D. individual fellowship with the reference of 10.54499/2020.08876.BD (https://doi.org/10.54499/2020.08876.BD). This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB /04029/2020 (https://doi.org/10.54499/UIDB/04029/2020), and under the Associate Laboratory Advanced Production and Intelligent Systems (ARISE) under Reference LA/P/0112/2020.

Notation

The following symbols are used in this paper:
Afpl
ratio of CFRP reinforcement cross-sectional area provided per unit length (mm);
Afw
area of FRP for shear strengthening measured perpendicular to the direction of the fibers (mm2);
Asl
cross-sectional area of longitudinal steel reinforcement (mm2);
a
shear span (mm);
aj
regression coefficient;
aj
regression coefficient;
B
regression coefficient;
bj
regression coefficient;
bw
breadth of beam web (mm);
Cf
strengthening configuration factor;
CoV
coefficient of variation;
Df
stress distribution factor;
dfv
effective depth of FRP shear reinforcement (mm);
ds
internal arm of steel reinforcement (mm);
Ef
modulus of elasticity of the CFRP reinforcement (MPa);
Es
modulus of elasticity of longitudinal steel (MPa);
fck
characteristic compressive strength of concrete (MPa);
fcm
compressive strength of concrete (MPa);
fctk
characteristic value of tensile strength of concrete (MPa);
fctm
mean value of tensile strength of concrete (MPa);
ffbwm
mean value bond strength of FRP reinforcement (MPa);
ffe
effective stress in the FRP reinforcement as introduced in CNR-DT 200 R1 (MPa);
ffem
mean value for the FRP effective stress as introduced in CIDAR (MPa);
ffm
mean value of ultimate strength of FRP (MPa);
ffm,max
mean value of maximum stress in FRP as introduced in CIDAR (MPa);
ffmm
FRP debonding stress according to CNR-DT 200 R1 (MPa);
ffu
ultimate strength of FRP (MPa);
ffwm
mean value of the average stress in the FRP intersected by the shear crack in the ultimate limit state (MPa);
ffwm,c
mean value of FRP strength attributed to a failure caused by FRP rupture (MPa);
H0
null hypothesis;
H1
alternative hypothesis;
h
height of beam (mm);
hf
height of CFRP reinforcement (mm);
hfe
effective height of FRP reinforcement as introduced in fib Bulletin 90 (mm);
hw
height of beam web (mm);
K
composite feature of the CFRP reinforcement that is obtained from ρfEf/fcm2/3;
k1, k2, kv
parameters of the ACI PRC-440.2-23 model representing concrete strength, type of strengthening scheme, and bond reduction coefficient, respectively;
kb, kg
geometrical corrective factor and additional corrective factor, respectively, as introduced in CNR-DT 200 R1;
kR
reduction factor to consider stress concentration at corners;
Le(ACI)
active bond length as introduced in ACI PRC-440.2-23 (mm);
Le(CIDAR)
effective bond length of FRP as introduced in CIDAR (mm);
Le(fib)
effective bond length of FRP as introduced in fib Bulletin 90 (mm);
lem
effective bond length as introduced in CNR-DT 200 R1 (mm);
lt,max
anchorage length required to develop full anchorage capacity (mm);
eMAPE
mean absolute percentile error;
ME
bending moment caused by external loads (N·m);
N
number of specimens;
nf
number of FRP layers;
nss
parameters of the TR55 model representing type of strengthening scheme;
R2
coefficient of determination;
Rc
corner radius of beam cross section (mm);
RMSE
root mean squared error (kN);
r
Pearson coefficient of correlation;
sf
spacing of CFRP reinforcement (mm);
su
interface slip corresponding to full debonding (mm);
s0m
mean value of ultimate slip (mm);
tf
thickness of CFRP reinforcement (mm);
tf
effective total thickness of FRP reinforcement as introduced in fib Bulletin 90 (mm);
t0
thickness of each FRP layer (mm);
VE
shear load caused by external loads (N·m);
Vf
contribution of CFRP reinforcement to shear resistance of RC beams (kN);
Vfexp
value of Vf obtained from experiments (kN);
VR,fmodel
predicted value of Vf obtained from each specific model (kN);
wf
width of CFRP reinforcement (mm);
x′, y′, m′, n′
parameters of the fib Bulletin 90 model;
xj
input variable;
yi
known value for specimen i;
y¯
mean of known values;
y¯
mean of predicted values;
αf
fiber orientation angle;
βL
coefficient to compensate for insufficient FRP anchorage length;
βw
FRP width-to-spacing ratio;
Γfm
bonded joint specific fracture energy;
γi
predicted value for specimen i;
εf
strain in the FRP reinforcement;
εfe
effective strain in CFRP reinforcement;
εfeexp
value of εfe obtained from experiments;
εfepred
predicted value of εfe;
εfse
effective strain in the FRP for shear strengthening according to TR55;
εfu
ultimate strain of FRP at rupture (MPa);
εswy
steel yielding strain;
εx
longitudinal strain at the middepth of the section;
θ
inclination angle of CDC;
θmin
minimum inclination angle of CDC;
κm
global model modification factor;
λ
ratio of the maximum available bond length to the effective bond length according to CIDAR;
ρf
ratio of CFRP reinforcement;
ρl
longitudinal tensile steel reinforcement ratio;
ρsw
ratio of steel stirrups;
ρxj,χ
coefficient of correlation between jth parameter and model error;
σ
standard deviation;
τb1m
mean value of ultimate bond strength (MPa);
χv
model error obtained for Vf;
χε
model error obtained for effective strain; and
Ω
objective function.

References

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Go to Journal of Composites for Construction
Journal of Composites for Construction
Volume 28Issue 6December 2024

History

Received: Mar 5, 2024
Accepted: Jul 29, 2024
Published online: Sep 24, 2024
Published in print: Dec 1, 2024
Discussion open until: Feb 24, 2025

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Authors

Affiliations

Ph.D. Candidate, ISISE, Dept. of Civil Engineering, Univ. of Minho, Azurém, Guimarães 4800-058, Portugal (corresponding author). ORCID: https://orcid.org/0000-0002-2940-109X. Email: [email protected]
Joaquim A. O. Barros [email protected]
Full Professor, ISISE, IBS, Dept. of Civil Engineering, Univ. of Minho, Azurém, Guimarães 4800-058, Portugal. Email: [email protected]
José Sena-Cruz [email protected]
Associate Professor, ISISE, IBS, Dept. of Civil Engineering, Univ. of Minho, Azurém, Guimarães 4800-058, Portugal. Email: [email protected]

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