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Predicting of compressive strength of recycled aggregate concrete by genetic programming
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  • Journal title : Computers and Concrete
  • Volume 18, Issue 2,  2016, pp.155-163
  • Publisher : Techno-Press
  • DOI : 10.12989/cac.2016.18.2.155
 Title & Authors
Predicting of compressive strength of recycled aggregate concrete by genetic programming
Abdollahzadeh, Gholamreza; Jahani, Ehsan; Kashir, Zahra;
 Abstract
This paper, proposes 20 models for predicting compressive strength of recycled aggregate concrete (RAC) containing silica fume by using gene expression programming (GEP). To construct the models, experimental data of 228 specimens produced from 61 different mixtures were collected from the literature. 80% of data sets were used in the training phase and the remained 20% in testing phase. Input variables were arranged in a format of seven input parameters including age of the specimen, cement content, water content, natural aggregates content, recycled aggregates content, silica fume content and amount of superplasticizer. The training and testing showed the models have good conformity with experimental results for predicting the compressive strength of recycled aggregate concrete containing silica fume.
 Keywords
recycled aggregate concrete;silica fume;compressive strength;gene expression programming;
 Language
English
 Cited by
1.
Improved predictive model to the cross-sectional resistance of CFT, Journal of Mechanical Science and Technology, 2017, 31, 8, 3887  crossref(new windwow)
 References
1.
Ajdukiewicz, A. and Kliszczewicz, A. (2002), "Influence of recycled aggregates on mechanical properties of HS/HPC" Cement Concrete Compos., 24(2), 269-279. crossref(new window)

2.
Bhargava, S., Dulikravich, G.S., Murty, G.S., Agarwal, A. and Colaco, M.J. (2011), "Stress corrosion cracking resistant aluminum alloys: optimizing concentrations of alloying elements and tempering" Mater. Manufact. Process., 26(3), 363-374. crossref(new window)

3.
Cakir, O. (2014), "Experimental analysis of properties of recycled coarse aggregate (RCA) concrete with mineral additives" Constr. Build. Mater., 68, 17-25. crossref(new window)

4.
Cakir, O. and Sofyanli, O.O. (2015), "Influence of silica fume on mechanical and physical properties of recycled aggregate concrete" HBRC J., 11(2), 157-166. crossref(new window)

5.
Castelli, M., Vanneschi, L. and Silva, S. (2013), "Prediction of high performance concrete strength using genetic programming with geometric semantic genetic operators" Exp. Syst. Appl., 40(17), 6856-6862. crossref(new window)

6.
Chen, L., Kou, C.H. and Ma, S.W. (2014), "Prediction of slump flow of high-performance concrete via parallel hyper-cubic gene-expression programming" Eng. Appl. Artif. Intelligence, 34, 66-74. crossref(new window)

7.
Elhakam, A.A., Mohamed, A.E. and Awad, E. (2012), "Influence of self-healing, mixing method and adding silica fume on mechanical properties of recycled aggregates concrete" Constr. Build. Mater., 35, 421-427. crossref(new window)

8.
Ferreira, C. (2001), "Gene expression programming: a new adaptive algorithm for solving problems" Complex Syst., 13(2), 87-129.

9.
Ferreira, C. (2006), "Automatically defined functions in gene expression programming" Genetic Systems Programming, 21-56, Springer Berlin Heidelberg.

10.
Gandomi, A.H., Mohammadzadeh, D., Perez-Ordonez, J.L. and Alavi, A.H. (2014), "Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups" Appl. Soft Comput., 19, 112-120. crossref(new window)

11.
Ganguly, S., Datta, S. and Chakraborti, N. (2009), "Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels" Comput. Mater. Sci., 45(1), 158-166. crossref(new window)

12.
Kara, I.F. (2011), "Prediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming" Adv. Eng. Softw., 42(6), 295-304. crossref(new window)

13.
Kou, S.C. and Poon, C.S. (2015), "Effect of the quality of parent concrete on the properties of high performance recycled aggregate concrete" Constr. Build. Mater., 77, 501-508. crossref(new window)

14.
Koza, J.R. (1995), "Survey of genetic algorithms and genetic programming" Wescon Conference Record, 589-594.

15.
Milani, A.A. and Nazari, A. (2012), "Modeling ductile-to-brittle transition temperature of functionally graded steels by gene expression programming" Int. J. Damage Mech., 21(4), 465-492. crossref(new window)

16.
Modani, P.O. and Mohitkar, V.M. (2014), "Self-compacting concrete with recycled aggregate: A solution for sustainable development" Int. J. Civil Struct. Eng., 4(3), 430-440.

17.
Nazari, A. and Riahi, S. (2011), "Prediction split tensile strength and water permeability of high strength concrete containing TiO2 nanoparticles by artificial neural network and genetic programming" Compos. Part B: Eng., 42(3), 473-488. crossref(new window)

18.
Nazari, A., Khalaj, G. and Var, N.D. (2011), "Computational investigations of the impact resistance of Aluminum-Epoxy-Laminated composites" Int. J. Damage Mech., . 1056789511411739 crossref(new window)

19.
Ozbay, E., Gesoglu, M. and Guneyisi, E. (2008), "Empirical modeling of fresh and hardened properties of self-compacting concretes by genetic programming" Constr. Build. Mater., 22(8), 1831-1840. crossref(new window)

20.
Perez, J.L., Cladera, A., Rabunal, J.R. and Abella, F.M. (2010), "Optimal adjustment of EC-2 shear formulation for concrete elements without web reinforcement using Genetic Programming" Eng. Struct., 32(11), 3452-3466. crossref(new window)

21.
Podgornik, B., Leskovsek, V., Kovacic, M. and Vizintin, J. (2011), "Residual stress field analysis and prediction in nitrided tool steel" Mater. Manufact. Process., 26(9), 1097-1103. crossref(new window)

22.
Pouraliakbar, H., Monazzah, A.H., Bagheri, R., Reihani, S.S., Khalaj, G., Nazari, A. and Jandaghi, M.R. (2014), "Toughness prediction in functionally graded Al6061/SiCp composites produced by roll-bonding" Ceramics Int., 40(6), 8809-8825. crossref(new window)

23.
Saridemir, M. (2010), "Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash" Constr. Build. Mater., 24(10), 1911-1919. crossref(new window)

24.
Saridemir, M. (2011), "Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming" Exp. Syst. Appl., 38(11), 14257-14268.

25.
Saridemir, M. (2014), "Effect of specimen size and shape on compressive strength of concrete containing fly ash: Application of genetic programming for design" Mater. Des., 56, 297-304. crossref(new window)

26.
Shahria Alam, M., Slater, E. and Muntasir Billah, A.H.M. (2012), "Green concrete made with RCA and FRP scrap aggregate: Fresh and hardened properties" J. Mater. Civil Eng., 25(12), 1783-1794.

27.
Sonebi, M. and Cevik, A. (2009), "Genetic programming based formulation for fresh and hardened properties of self-compacting concrete containing pulverised fuel ash" Constr. Build. Mater., 23(7), 2614-2622. crossref(new window)

28.
Tanyildizi, H. and Cevik, A. (2010), "Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming" Constr. Build. Mater., 24(12), 2612-2618. crossref(new window)

29.
Ulloa, V.A., Garcia-Taengua, E., Pelufo, M.J., Domingo, A. and Serna, P. (2013), "New views on effect of recycled aggregates on concrete compressive strength" ACI Mater. J., 110(6).

30.
Xie, J.H., Guo, Y.C., Liu, L.S. and Xie, Z.H. (2015), "Compressive and flexural behaviours of a new steel-fibre-reinforced recycled aggregate concrete with crumb rubber" Constr. Build. Mater., 79, 263-272. crossref(new window)

31.
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