Compressive strength is the ability of materials to withstand loads without deformation or cracking. It is one of the most important criteria for evaluating the properties of concrete. The use of Fiber-Reinforced Polymers (FRP) to Strengthen concrete columns and as a supplement to improve some properties of concrete materials has received much attention in recent decades. Therefore, it is important to investigate and determine the compressive strength of confined concrete with FRP sheets. In this study, a comprehensive database containing 1066 specimens of concrete cylinders confined with FRP sheets has been collected. Then, using machine learning methods, the estimation and evaluation of the compressive strength of the mentioned specimens were discussed. The artificial neural network of multilayer perceptron (MLP) and support vector regression (SVR), fuzzy neural inference system (ANFIS), and its combination with particle swarm algorithm (PSO) and kriging interpolation method are the methods used in this study. Subsequently, these methods were compared with the models presented in previous studies. The results of this comparison show that the kriging interpolation method with a correlation coefficient of 0.985 in estimating compressive strength has the lowest error compared to other models.
ManderJBPriestleyMJN, et al.Theoretical stress‐strain model for confined concrete. J Struct Eng1988114: 1804–1826.
6.
PhamTMHadiMNS. Confinement model for FRP confined normal- and high-strength concrete circular columns. Constr Build Mater2014; 69: 83–90.
7.
LamLTengJG. Design-oriented stress-strain model for FRP-confined concrete. Constr Build Mater2003; 17: 471–489.
8.
RousakisVYouTDe LorenzisC, et al.Concrete cylinder confined by carbon FRP sheet subjected to monotonic and cyclic axial compressive loads. In: Proceding 6th International Symposium Fiber Reinforced Polymer Reinforcement For Concrete StructuresSingapore, July 2003, 1–10.
9.
SadeghianPFamA. Improved design-oriented confinement models for FRP-wrapped concrete cylinders based on statistical analyses. Eng Struct2015; 87: 162–182.
10.
OzbakkalogluTLimJC. Axial compressive behavior of FRP-confined concrete: experimental test database and a new design-oriented model. Compos Part B: Eng2013; 55. 607–634.
11.
KeshtegarBOzbakkalogluTGholampourA. Modeling the behavior of FRP-confined concrete using dynamic harmony search algorithm. Eng Comput2017; 33: 415–430, DOI: 10.1007/s00366-016-0481-y
12.
KeshtegarBSadeghianPGholampourA, et al.Nonlinear modeling of ultimate strength and strain of FRP-confined concrete using chaos control method. Compos Struct2017; 163: 423–431.
13.
KeshtegarBGholampourAThaiD-K, et al.Hybrid regression and machine learning model for predicting ultimate condition of FRP-confined concrete. Compos Struct2021; 262: 113644. DOI: 10.1016/j.compstruct.2021.113644
14.
KeshtegarZMBagheriBYaseenM, et al.Shear strength of steel fiber-unconfined reinforced concrete beam simulation: application of novel intelligent model. Compos Struct2019; 212: 230–242.
15.
KeshtegarRNehdiBTrungML, et al.Predicting load capacity of shear walls using SVR–RSM model. Appl Soft Comput2021; 112: 107739.
16.
KeshtegarBYaseenZM. Reinforcing bar development length modeling using integrative support vector regression model with response surface method: New approach. ISA transactions. 2021 Oct 20.
17.
El Amine Ben SeghierMKeshtegarBTeeBF, et al.Prediction of maximum pitting corrosion depth in oil and gas pipelines. Eng Fail Analysis2020; 112: 104505.
18.
El Amine Ben SeghierMKeshtegarBAmarMN, et al.Simulation of the ultimate conditions of fibre-reinforced polymer confined concrete using hybrid intelligence models. Eng Fail Anal2021; 128: 105605.
19.
El Amine Ben SeghierMKeshtegarBTaleb-BerrouaneM, et al.Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines. Process Saf Environ Prot2020; 147: 818–833.
20.
PhamTMHadiMNS. Predicting Stress and Strain of FRP-Confined Square/Rectangular Columns Using Artificial Neural Networks. J Compos Constr2014; 18(6): 040140191–040140199. DOI: 10.1061/(ASCE)CC.1943-5614.0000477
21.
SobhaniTNajimiJParhizkarM, et al.Prediction of the compressive strength of no-slump concrete: a comparative study of regression, neural network and ANFIS models. Constr Build Mater2010; 24: 709–718.
22.
MoodiYMousaviSRSohrabiMR. New models for estimating compressive strength of concrete confined with FRP sheets in circular sections. J Reinf Plast Compos2019; 38(21–22): 1014–1028.
23.
KamgarRNaderpourHKomelehHE, et al.A proposed soft computing model for ultimate strength estimation of FRP-confined concrete cylinders. Appl Sci2020; 10(5): 1769. DOI: 10.3390/app10051769
24.
CevikACabalarAF. A genetic-programming-based formulation for the strength enhancement of fiber-reinforced-polymer-confined concrete cylinders. J Appl Poly Sci2008: 110(5): 3087–3095.
25.
CevikAGuzelbeyIH. Neural network modeling of strength enhancement for CFRP confined concrete cylinders. Building Environ2008; 43: 751–763. DOI: 10.1016/j.buildenv.2007.01.036
26.
GandomiAHAlaviAHSahabMG. New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming. Mater Struct2010; 43: 963–983. DOI: 10.1617/s11527-009-9559-y
27.
NaderpourHKheyroddinAAmiriGG. Prediction of FRP-confined compressive strength of concrete using artificial neural networks. Compos Struct2010; 92(12): 2817–2829. DOI: 10.1016/j.compstruct.2010.04.008
28.
CevikAGöğüşMTGüzelbeyİH, et al.Soft computing based formulation for strength enhancement of CFRP confined concrete cylinders. Adv Eng Softw2010; 41: 527–536. DOI: 10.1016/j.advengsoft.2009.10.015
29.
CevikA. Modeling strength enhancement of FRP confined concrete cylinders using soft computing. Expert Syst Appl2011; 38(5): 5662–5673. DOI: 10.1016/j.eswa.2010.10.069
30.
ElsanadedyHMAl-SalloumYAAbbasH, et al.Prediction of strength parameters of FRP-confined concrete. Compos Part B: Eng2012; 43(2): 228–239. DOI: 10.1016/j.compositesb.2011.08.043
31.
JalalMRamezanianpourAA. Strength enhancement modeling of concrete cylinders confined with CFRP composites using artificial neural networks. Compos Part B: Eng2012; 43(8): 2990–3000. DOI: 10.1016/j.compositesb.2012.05.044
32.
JalalMRamezanianpourAAPouladkhanAR, et al.Application of genetic programming (GP) and ANFIS for strength enhancement modeling of CFRP-retrofitted concrete cylinders. Neural Comput Applic2013; 23: 455–470. DOI: 10.1007/s00521-012-0941-2
33.
LimJCKarakusMOzbakkalogluT. Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming. Comput Struct2016; 162: 28–37. DOI: 10.1016/j.compstruc.2015.09.005
34.
MansouriIOzbakkalogluTKisiO, et al.Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques. Mater Struct2016; 49: 4319–4334. DOI: 10.1617/s11527-015-0790-4
35.
MozumderRARoyBLaskarAI, et al.Support vector regression approach to predict the strength of FRP confined concrete. Arab J Sci Eng2016; 42: 1129–1146. DOI: 10.1007/s13369-016-2340-y
36.
CascardiAMicelliFAielloMA. An artificial neural networks model for the prediction of the compressive strength of FRP-confined concrete circular columns. Eng Struct2017; 140: 199–208. DOI: 10.1016/j.engstruct.2017.02.047
37.
MansouriIKisiOSadeghianP, et al.Prediction of ultimate strain and strength of FRP-confined concrete cylinders using soft computing methods. Appl Sci2017; 7: 751. DOI: 10.3390/app7080751
38.
AhmadAPlevrisVKhanQ-Z. Prediction of properties of FRP-confined concrete cylinders based on artificial neural networks. Crystal2020; 10: 811.
39.
WuYWeiYF. General stress-strain model for steel- and FRP-confined concrete. J Compos Constr2015; 19: 14.
40.
FahmyZWuMFM. Evaluating and proposing models of circular concrete columns confined with different FRP composites. Compos Part B2010; 41: 199–213.
41.
TengYZJiangJGLamT, et al.Refinement of a design-oriented stress–strain model for FRP-confined concrete. J Compos Constr2009; 13(No. 4): 269–278.
42.
YoussefASFengMNMosallamMQ, et al.‘Stress–strain model for concrete confined by FRP composites. Compos Part B Eng2007; 38: 614–628.
43.
KumuthaMSVaidyanathanRPalanichamyR, et al.Behaviour of reinforced concrete rectangular columns strengthened using GFRP. Cem Concr Compos2007; 29: 609–615.
44.
GuralnickLGunawanSA. Strengthening of reinforced concrete bridge columns with FRP wrap. Pract Period Struct Des Constr2005; 11: 218–228.
45.
WuYZhouY-W. Unified strength model based on Hoek-Brown failure criterion for circular and square concrete columns confined by FRP. J Compos Constr. 2010; 14. [Online]Available: https://ascelibrary.org
46.
FathiMRostamiSMojtabaMS. Prediction of compressive strength of concrete containing fly ash, microsilica and copper slag using statistical methods, artificial neural network and fuzzy logic. Sharif Civ Eng J2019; 34. [Online]. Available. https://civilica.com/doc/894270
47.
BagherzadehMSinaAkbari, “Estimation of compressive strength of concrete using artificial neural network and neural-adaptive fuzzy inference system,”10th Int. Congr. Civ. Eng. Tabriz, 1394, [Online]. Available: https://civilica.com/doc/364640. In Persian
48.
JaganJSR, ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern. 1993; 23(No.3): 665–685.
49.
GencelOBrostowWBeycioğluA, et al.Estimation of fracture energy of high-strength steel fibre-reinforced concrete using rule-based Mamdani-type fuzzy inference system. Sci Eng Compos Mater2012; 19(4): 373–380.
50.
RobatiFNIranmaneshS. Inflation rate modeling: adaptive neuro-fuzzy inference system approach and particle swarm optimization algorithm (ANFIS-PSO). MethodX2020; 7: 101062.
51.
Abdel-Aleem1AEl-Sharief1MAEl-Sebaie1 MohamedG, et al.Implementation of fuzzy and adaptive neuro-fuzzy inference systems in optimization of production inventory problem. Appl Math Inf Sci2017; 11(No. 1): 289–298.
52.
ShabanMYangJElbazK, et al.Fuzzy-metaheuristic ensembles for predicting the compressive strength of brick aggregate concrete. Resour Conserv Recycl2021; 169–105443.
53.
YuvarajPSPRamachandra MurthyAIyerNR, et al.Support vector regression based models to predict fracture characteristics of high strength and ultra high strength concrete beams. Eng Fract Mech2013; 98: 29–43.
54.
SunGMJZhangJGuY, et al.Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression. Constr Build Mater2019; 207: 440–449.
55.
VapnikVN. An overview of statistical learning theory. IEEE Trans Neural Networks1999; 10: 988–999.
56.
MokhtariSMooneyMA. Predicting EPBM advance rate performance using support vector regression modeling. Tunn Undergr Sp Technol2020; 104: 103520.
57.
OuaerHHosseiniAHNait AmarM, et al.Rigorous connectionist models to predict carbon dioxide solubility in various ionic liquids. Appl Sci2020; 10: 304.
58.
Abdi-KhanghahMBemaniANaserzadehZ, et al.Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN. J Compos Constr2018; 25: 108–119.
59.
GhritlahreHKPrasadRK. Exergetic performance prediction of solar air heater using MLP, GRNN and RBF models of artificial neural network technique. J Environ Manage2018; 223: 566–575.
60.
JonesDRSchonlauMWelchWJ. Efficient global optimization of expensive black-box functions. J Glob Optim1998; 13: 455–492.
61.
SacksJWelchWJMitchellTJ, et al.Design and analysis of computerexperiments. Stat Sci1989; 4: 409–423.
62.
ZhouYLuZZChengK. A bayesian monte carlo-based method for efficient computation of global sensitivity indices. Mech Syst Signal Process2019; 117(5): 498–516.
63.
MatheronG. The intrinsic random functions and their applications. Adv Appl Probab1973; 5(3): 439–468.
64.
FloresEIDiazDelaOFAFriswellMI. A computational multi-scale approach for the stochastic mechanical response of foam filled honeycomb cores. Compos Struct2012; 94: 1861–1870.
65.
LingCLuZSunB, et al.An efficient method combining active learning kriging and monte carlo simulation for profust failure probability. Fuzzy Sets Systs2020; 387: 89–107.
66.
LeigangZZhenzhouLWangP. Efficient structural reliability analysis method based on advanced Kriging model. Appl Math Model2015; 39: 781–793.
67.
MoodiYShahriFSMousaviSR. Providing a model for estimating the compressive strength of square and rectangular columns confined with a variety of fibre-reinforced polymer. J Reinf Plast Compos2017; 36(21): 1602–1612. DOI: 10.1177/0731684417720837
68.
GhasemiHSohrabiMRMoodiY. Proposing models for estimating the compressive strength of HSC and UHSC FRP-confined circular concrete by using whale algorithm. Iran J Sci Technol Trans Civ Eng2021, Online Publication. DOI: 10.1007/s40996-021-00655-2
69.
MoodiYSohrabiMRMousaviSR. Corrosion effect of the main rebar and stirrups on the bond strength of RC beams, Structures. Sciencedirect2021; 32: 1444–1454. DOI: 10.1016/j.istruc.2021.03.096
70.
AireDGettuCCasasR, et al.Concrete laterally confined with fibre-reinforced polymers (FRP): experimental study and theoretical model’. Material Constr2010; 60(29): 19–31.
71.
AkogbeMWuRKLiangZM. Size effect of axial compressive strength of cfrp confined concrete cylinders. Int J Concr Struct Mater2011; 5(1): 49–55.
72.
Al-SalloumNSiddiquiY. Compressive strength prediction model for FRP confined concrete. In: Proceding 9th International Symposium FRP Fiber Reinforced Polymer Reinforcement for Concrete Structures. Sydney, Australia, 2009.
BerthetJFFerrierEPatriceH. Compressive behavior of concrete externally confined by composite jackets. Part A: experimental study. Constr Build Mater2005; 19(3): 223–232.
75.
BisbyLATakeWACasparyA. Quantifying strain variation FRP confined using digital image correlation proof of concept and initial result. Asia-Pacific Conf FRP Struct2007: 599–604.
76.
BisbyKChenLALiJF, et al.Strengthening fire-damaged concrete by confinement with fibre-reinforced polymer wraps. Eng Struct2011; 33(12): 3381–3391.
77.
CarnpioneNMiragliaGScibiliaN. Compressive behavior of RC members strengthened with carbon fiber reinforced plastic layers. Trans Built Environ2001; 57: 397–406.
78.
CareyKAHarriesSA. Axial behavior and modeling of confined small-, medium-, and large-scale circular sections with carbon fiber-reinforced polymer jackets. ACI Struct J2005; 102(4): 596–604.
79.
CuiCSheikhSA. Experimental study of normal-and high-strength concrete confined with fiber-reinforced polymers. J Compos Constr2010; 14(5): 553–561.
80.
DemersKNealeM. Strengthening of concrete columns with unidirectional composite sheets. Proc Dev Short Mediu Span Bridg Eng Montr Que. 1994.
81.
ElsanadedyHMAl-SalloumYAAlsayedSHIqbalRA. Experimental and numerical investigation of size effects in FRP-wrapped concrete columns. Construction and Building Materials. 2012 Apr 1; 29: 56–72.
82.
ErdilIOAkyuzBUYamanU. Mechanical behavior of CFRP confined low strength concretes subjected to simultaneous heating-cooling cycles and sustained loading. Mater Struct2012; 45: 223–233.
83.
EvansTKocmanJKretschmerM. Hybrid FRP Confined Concrete Columns. Adelaide, Australia: School Civil Environ Min Eng Univ, 2008.
84.
GreenVKRBisbyMFFamLA, et al.FRP confined concrete column: behavior under extreme conditions. Cem Concr Compos2006; 28: 928–993.
85.
HarmonKTSlatteryTG. Advanced composite confinement of concrete. In: Proceding Advance Composite Material Bridge Structure. Montereal, Canada, 1992.
86.
HarriesGKharelKA. Behavior and modeling of concrete subject to variable confining pressure. ACI Mater J2002; 99: 180–189.
87.
IlkiAKumbasarNKovV. Strength and deformability of low strength concrete confined by carbon fiber composite sheets. In: Procedings 15th Engineering Mechanics Conference, New York, 2002.
88.
IssaCA. The effect of elevated temperatures on CFRP wrapped concrete cylinders. In: Proceeding 8th International Symposium on Fiber Reinforcement Concrete. Structure. Greece, 2008.
89.
KarabinisTCRousakisAI. Concrete confined by FRP material: a plasticity approach. ASCE J Eng Struct2002; 24(7): 923–932.
KarantzikisMPapanicolaouCGAntonopoulosCP, et al.Experimental investigation of nonconventional confinement for concrete using FRP. ASCE J Compos Constr2005; 9(6): 480–487.
92.
KarbhariYGaoVM. Composite jacketed concrete under uniaxial compression—verification of simple design equations. J Mater Civ Eng1997; 9(4): 185–193.
93.
KonoTInazuniSKakuM. Evaluation of confining effects of CFRP sheets on reinforced concrete members. In: Proceeding 2nd International Conference Composite Infrastructures1998; 1: 343–355.
LamYTengLCheungJG, et al.FRP-confined concrete under axial cyclic compression. Cem Concr Compos2006; 28(10): 949–958.
96.
LeeJYiJJeongC, et al.Compressive response of concrete confined with steel spirals and FRP composites. J Compos Mater2009; 44(4): 481–504.
97.
LinCILiaoHJ. An effective peak stress formula for concrete confined with carbon fiber reinforced plastics. J Civ Eng2003; 30: 882–889.
98.
LiangRWuMUedaZ, et al.Experiment and modeling on axial behavior of carbon fiber reinforced polymer confined concrete cylinders with different size. J Reinfor Plastics Compos2012; 31(6): 389–403.
99.
MandalAHoskinSFamA. Influence of concrete strength on confinement effectiveness of fiber reinforced polymer circular jackets. Struct J2005; 102: 383–392.
100.
MatthysKTaerweSAudenaertL. Tests on axially loaded concrete columns confined by fiber reinforced polymer sheets wrapping. In: Procedings 4th International Symposium Fiber Reinforcemet Polymer Reinforcement Concrete Structure, Mainz, Germany, 4 October 1999, 1999: 217–228.
101.
MiyauchiSNishibayashiKInoueS. Estimation of strengthening effects with carbon fiber sheet for concrete column. In: Procedings 3rd Int Symposium Non-metalic Reinforcement Concrete Structure, Sapporo, Japan, 14–16 October 1997, 1997.
102.
ModarelliOMicelliRManniF. FRP confinement of hollow concrete cylinders and prisms. In: Proceeding 7th International Symposium Fiber Reinforcement Polymer Reinforcement Concretere Structure, Kansas City, MI, 2005.
103.
OwenLM. Stress-strain Behavior of Concrete Confined by Carbon Fiber Jacketing. Washington, Seattle: Masters, Univ, 1998.
104.
OngpengJMC. Retrofitting RC circular columns using CFRP sheet as confinement. Symposium on Infrastructure Development and the Environment 2006, Quezon City, Philippines, 2006.
105.
SongWXGuXLiY, et al. Mechanical behavior of FRP strengthened concrete columns subjected to concentric and eccentric compression loading. J Compos Constr2013; 17(3): 336–346.
106.
ShehataLAEMCarneiroIAVShehataL. Strength of short concrete columns confined with CFRP sheet. Mater Struct2002; 35: 50–58.
107.
ShehataLAEMCarneiroIAVShehataL. Strength of confined short concrete columns. In: 8th International Symposium Fiber Reinforcement Polymer Reinforcement Concrete Structure Patras. Greece, 2002.
108.
StantonJFOwenLM. The influence of concrete strength and confinement type on the response of FRP-confined concrete cylinders. Special Publication. 2006 Oct 1; 238: 347–362.
109.
TamuzsKValdminsVTepferV, et al. Stability analysis of CFRP wrapped concrete columns strengthened with external longitudinal CFRP sheet. Mech Compos Mater2008; 44: 199–208.
110.
TheriaultSNealeMKWASCEClaudeM. Fiber reinforced polymer confined circular concrete columns: investigation of size and slenderness effects. J Compos Constr2004; 8(No. 4): 323–331.
111.
ValdmanisRVDe LorenzisLRousakisT, et al.Behavior and capacity of CFRP confined concrete cylinder subjected to monotonic and cyclic axial compressive loads. Struct Concr2007; 8(4): 187–200.
112.
VincentTOzbakkalogluT. Influence of concrete strength and confinement method on axial compressive behavior of FRP confined and ultra high strength concrete. Compos Part B Eng2010; 50: 413–428.
113.
PicherPRochetteFComP, et al.Confinement of concrete cylinders with CFRP. In: Proceeding Is International Conference Composite Infrastructure. Tuscon, Arizona, 1996.
114.
Pressure PiekarczyJPiekarczyWBlazewichzS. Compressive strength of concrete cylinders reinforced with carbon fiber laminate. Constr Build Mater2011; 25:2365–2369.
115.
RochettePLabossièreP. Axial testing of rectangular column models confined with composites. ASCE J Compos Constr2000; 4(3): 129–136.
116.
SaenzCPPantelidesN. Short and medium term durability evaluation of FRP confined circular concrete. J Compos Constr2006; 10(3): 244–253.
117.
SantarosJLFilhoDBeberAC, et al. Concrete columns confined with CFRP sheet. In: Proceeding International Conferene FRP Composite Civil Engineering. Hong Kong2001.
118.
ShahawyBMMirmiranA. Tests and modeling of carbon wrapped concrete columns. Compos Part B Eng2000; 31(6): 471–480.
119.
SmithSTKimSJZhangH. ‘Behavior and effectiveness of FRP Wrap in the confinement of large concrete cylinders. J Compos Constr2010; 14(5): 573–582.
120.
WangYFWuLM. Effect of corner radius on the performance of CFRP-confined square concrete columns: test. Eng Struct2008; 30(2): 493–505.
121.
XiaoHWuY. Compressive behavior concrete confined by carbon fiber composites jackets. J Mater Civ Eng2000; 12(2): 139–146.
ShaoAZhuYMirmiranZ. Cyclic modeling of FRP confined concrete with improved ductility. Cem Concr Compos2006; 2(10): 956–968.
124.
SilvaMAGChastreC. Size and relative stiffness effects on compressive failure of concrete columns wrapped with glass FRP. J Mater Civ Eng2006; 18: 334–342.
125.
ZhangYWYeSMaiL. Study on polymer composite strengthening systems for concrete columns. Appl Compos Mater2000; 7: 125–138.
126.
AhmadAKhalooSHIrshaidAR. Behavior of concrete spirally confined by fiberglass filaments. Mag Concr Res1991; 43(15): 143–148.
127.
AuOBuyukozturkC. Effect of fiber orientation and ply mix on fiber reinforced polymer-confined concrete. J Compos Constr2005; 9(5): 397–407.
128.
BulloS. Experimental study of the effect the ultimate strain of fiber reinforced plastic jackets on the behavior of confined concrete. In: Procedings International Conference Composite Construction. Cosenza, Italy. 2003.
129.
ComertAGoksuMIlkiC. Towards a tailored stress-strain behaviour for FRP confined low strength concrete. In: Procedings 9th International Symposium Fiber Reinforcement Polymer Reinforcenment Concrete Structure. Sydney, Australia, 2010.
130.
HarriesACareyKA. Shape and “gap” effects on the behavior of variably confined concrete. Cem Concr Res2003; 33: 881–889.
131.
DaiJGBaiJGTengYL. Behavior and modeling of concrete confined with FRP composites of large deformability. J Compos Constr2011; 15: 963–973.
132.
TengSLYuJGWongT, et al.Hybrid FRP concrete steel tubular columns: concept and behavior. Constr Build Mater2007; 21: 846–854.
133.
OzbakkalogluTAkinE. Behavior of FRP-confined normal-and high-strength concrete under cyclic axial compression. J Compos Constr2012; 16(4): 451–463.
134.
SuterRPinzelliR. Confinement of concrete columns with frp sheet. In: Proceeding 5th Symposium Fiber Reinforcement Plast. Reinforcement Concrete Structure, London, 2001.
135.
WangY-fWuH-L. Size effect of concrete short columns confined with aramid FRP jacket. ASCE J Compos Constr2011; 15: 535–544.
136.
JiangJGTengT. Analysis-oriented stress–strain models for FRP–confined concrete. Eng Struct2007; 29: 2968–2986.
137.
MirmiranHShahawyASamaanM, et al.Effects of column parameters on FRP confined concrete. J Compos Constr1998; 2175–185.
LiMMaricherlaGSinghD, et al.Effect of fiber orientation on the structural behavior of FRP wrapped concrete cylinder. J Compos Struct2006; 74: 475–483.
140.
WatanabeNNakamuraKHondaR, et al.Confinement effect of FRP sheet on strength and ductility of concrete cylinders under uniaxial compression. Proc Third Int Symp1997; 1: 233–238.
141.
WongSLYuY.LTengT, et al.Behavior of FRP-confined concrete in annular section columns. Compos Part B Eng2008; 39: 451–466.
142.
MicelliSMyersFMurthyJJ. Effect of environmental cycles on concrete cylinders confined with FRP. In: Proceeding International Conference Composite Construction. Porto, Port, 2001.
143.
HosotaniJKawashimaKHoshikumaK. A model for confinement effect for concrete cylinders confined by carbon fiber sheets. In: Workshop on Earthquake Engineering Frontiers in Transportation Facilities. Buffalo, NY, 1997.
144.
MastrapaJC. Effect of construction bond on confinement with fiber composites. Orlando, FL. Masters, Univ Cent, 1997.
145.
WuZSLüGWuZT. Strength and ductility of concrete cylinders confined with FRP composites. Constr Build Mater2006; 20: 134–148.
146.
WuYBWuGLuZS, et al.Structural performance of concrete confined with hybrid FRP composites. J Reinf Plast Compos2008; 27: 1323–1348.
147.
WuXH.WangYYuL, et al.Experimental and computational studies on high strength concrete circular columns confined by aramid fiber reinforced polymer sheet. J Compos Constr2009; 13(2): 125–134.
148.
VincentTOzbakkalogluT. Influence of concrete strength and confinement method on axial compressive behavior of FRP confined and ultra high strength concrete. Compos Part B Eng2010; 50: 413–428.
149.
IlkiVKumbasarAKovN. Low strength concrete members externally confined with FRP sheet. Struct Eng Mech2004; 18: 167–194.
150.
LinCTChenHJ. Strength of concrete cylinder confined by composite materials. J Reinf Plast Compos2001; 20: 1577–1600.
151.
HowieVMKarbhariI. Effect of materials architecture on strengthening efficiency of composite wraps for deteriorating columns in the north-east. In: 3rd Materials engineering conference, San Diego, CA, 1994.
152.
IssaGNKaramCA. Compressive strength of concrete cylinders with variable widths CFRP wraps. In: Proceeding 4th International Conference Advanced Composite Mater Bridge Structure. Calgry, AL, 2004.
153.
LinCILiaoHJ. Compressive strength of reinforced concrete column confined by composite material. J Compos Struct2004; 65: 239–250.
154.
MiyauchiKInoueSKurodaTKobayashiA. Strengthening effects with carbon fiber sheet for concrete column. Proc Jpn Concr Inst. 1999 Mar; 21(3): 1453–1458.
155.
AbdollahiMBakhshiBShekarchiM. Experimental modeling of GFRP confined concrete cylinders subjected to axial loads. In: Procedings 8th International Symposium FRP Reinforcement Concrete Structure. Patras, Greece, 2007.
156.
AlmusallamT. Behavior of normal and high-strength concrete cylinders confined with E-glass/epoxy composite laminates. Compos Part B Eng2007; 38(5–6): 629–639.
157.
WangYZhangD. Creep-effect on mechanical behavior of concrete confined by FRP under axial compression. ASCE, J Eng Mech2009; 135(11): 1315–1322.
158.
ParkSJoJHYoonBW. Experimental investigation on the structural behavior of concrete filled FRP tubes with/without steel Re-bar. KSCE J Civ Eng2011; 15(2): 337–345.
159.
SaafiMAToutanjiHALiZ. Behavior of concrete columns confined with fiber reinforced polymer tubes. ACI Struct J1999; 96(5): 500–509.
160.
AireCGettuRCasasJR, et al. Concrete laterally confined with fibre-reinforced polymers (FRP): experimental study and theoretical model. Mater Constr2010; 60: 19–31.
161.
Chikh NBRGahmousM. Structural performance of high strength concrete columns confined with CFRP sheets. In: Papaer Presented at Procedings World Congress Engineering, London, UK, 2012.
162.
GreenMF. FRP repair of concrete structures: performance in cold regions. Int J Mater Prod Technol2007; 28(1–2): 160–177.
163.
AireCGettuRCasasJR. Study of the compressive behavior of concrete confined by fiber reinforced composites. In: International Conference on Composites in Constructions, Porto, Portugal, 10 December 2001. The Netherlands: AA Balkema Publ. Lisse, 2001, 239–243.
164.
BenzaidRChikhNEMesbahHA. Study of the compressive behavior of short concrete columns confined by fiber reinforced composite. Arab J Sci Eng2021; 34(1B): 15–26.
165.
MandalS. Axial loading tests on FRP confined concrete of different compressive strengths. In: Proceedings, 4th Advanced Composite Materials Bridges and Structures. Alberta, Canada, 2004.
Valdmanis VTR.De LorenzisLRousakisT. Behaviour and capacity of CFRP-confined concrete cylinders subjected to monotonic and cyclic axial compressive load. Structural Concrete8. Published Online, 2007.
168.
XiaoQTengJGYuT. Behavior and modeling of confined high-strength concrete. J Compos Constr2010; 14(3): 249–259, DOI: 10.1061/(ASCE)CC.1943-5614.0000070
VincentTOzbakkalogluT. Influence of prestress on axial compressive behavior of high-strength concrete-filled FRP tubes. In: Paper Present Applied Mechnical. Materials, Xiamen, China, 2015. https://doi.org/10.4028/
171.
de OliveiraDSRaizVCarrazedoR. Experimental study on normal-strength, high-strength and ultrahigh-strength concrete confined by carbon and glass FRP laminates. J Compos Constr2019; 23(1): 04018072.
172.
Adam OstrowskiK. The influence of CFRP sheets on the strength of specimens produced using normal concrete and high-performance concrete assessed using uniaxial compression tests. Czas Tech2017; 7: 41–51.
173.
TouhariMMitiche-KettabR. Behaviour of FRP confined concrete cylinders: Experimental investigation and strength model. Period Polytech Civ Eng2016; 60(4): 647–660.
174.
WakjiraTGAlamMSEbeadU. Plastic hinge length of rectangular RC columns using ensemble machine learning model. Eng Struct2021; 244: 112808. DOI: 10.1016/j.engstruct.2021.112808
