Prediction of Compressive Strength of Self-Compacting Concrete (SCC) with Silica Fume Using Neural Networks Models

Mahmoud Serraye, Said Kenai, Bakhta Boukhatem


Self-Compacting Concrete (SCC) is a relatively new type of concrete with high workability, high volume of paste and containing cement replacement materials such as slag, natural pozzolana and silica fume. Cement replacement materials provide a wide variety of benefits such as lower cost, reduced consumption of natural resources, reduced carbon dioxide emissions and improved fresh and hardened properties. SCC is used in many applications such as sections with congested reinforcement and high rise shear walls and there is a need for the prediction of the performance of SCC used. Artificial Neural networks (ANN) are widely used in civil engineering for the prediction of the performance of some engineering materials such as compressive strength and durability. However, currently, studies on SCC containing silica fume are very rare. In this paper, an artificial neural networks (ANN) model is developed to predict the compressive strength of SCC with silica fume using the Levenberg-Marquardt back propagation algorithm based on a database from 366 experimental studies. The model developed was correlated with a nonlinear relationship between the constituents (input) and the compressive strength of SCC (output). To evaluate the predictive ability and generalize the developed model, other researchers’ experimental results were compared with the model prediction and good agreements are found. A parametric study was conducted to study the sensitivity of the ANN proposed model to some parameters such as water/binder ratio and superplasticizer content. The model developed in this study can potentially be used for SCC compressive strength prediction with very acceptable results and a high correlation coefficient R2=0.93. The developed model is practical, easy to use and user friendly.


Doi: 10.28991/cej-2021-03091642

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Self-compacting Concrete; Silica Fume; Prediction; Compressive Strength; Artificial Neural Networks.


Mahdikhani, Mahdi, and Ali Akbar Ramezanianpour. “New Methods Development for Evaluation Rheological Properties of Self-Consolidating Mortars.” Construction and Building Materials 75 (January 2015): 136–143. doi:10.1016/j.conbuildmat.2014.09.094.

Nuruddin, M. F, Khan, S.U., Shafiq, N. and Ayub, T. “Strength prediction models for PVA fibre reinforced high-strength concrete.” Journal of Materials in Civil Engineering 27(12) (March 2015): 2-16. doi:10.1061/(ASCE)MT.1943-5533.0001279.

Ramezanianpour, Ali Akbar. “Cement Replacement Materials.” Springer Geochemistry/Mineralogy (2014). doi:10.1007/978-3-642-36721-2.

Ahari, R.S., Erdem, T.K, and Ramyar, K. “Effect of various supplementary cementitious materials on rheological properties of self-consolidating concrete.” Construction and Building Materials 75 (November 2014): 89–98. doi:10.1016/j.conbuildmat.2014.11.014.

Tanyildizi, H, and Çevik, A. “Modelling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming”. Construction and Building Materials 24 (December 2010): 2612–2618. doi:10.1016/j.conbuildmat.2010.05.001.

Paris, Jerry M., Justin G. Roessler, Christopher C. Ferraro, Harvey D. DeFord, and Timothy G. Townsend. “A Review of Waste Products Utilized as Supplements to Portland Cement in Concrete.” Journal of Cleaner Production 121 (May 2016): 1–18. doi:10.1016/j.jclepro.2016.02.013.

Bingöl, A. Ferhat, and İlhan Tohumcu. “Effects of Different Curing Regimes on the Compressive Strength Properties of Self Compacting Concrete Incorporating Fly Ash and Silica Fume.” Materials & Design 51 (October 2013): 12–18. doi:10.1016/j.matdes.2013.03.106.

Uysal, Mucteba, and Mansur Sumer. “Performance of Self-Compacting Concrete Containing Different Mineral Admixtures.” Construction and Building Materials 25, no. 11 (November 2011): 4112–4120. doi:10.1016/j.conbuildmat.2011.04.032.

Ayat, H., Kellouche, Y., Ghrici, M, and Boukhatem, B. “Compressive strength prediction of limestone filler concrete using artificial neural networks”. Advances in Computational Design 3(3) (July 2018): 289-302. doi:10.12989/acd.2018.3.3.289.

Tenza-Abril, A.J., Villacampa, Y., Solak, A.M, and Baeza-Brotons, F. “Prediction and sensitivity analysis of compressive strength in segregated lightweight concrete based on artificial neural network using ultrasonic pulse velocity”. Construction and Building Materials189 (2018): 1173–1183. doi:10.1016/j.conbuildmat.2018.09.096.

Awodiji, Chioma Temitope Gloria, Davis Ogbonnaya Onwuka, Chinenye Okere, and Owus Ibearugbulem. “Anticipating the Compressive Strength of Hydrated Lime Cement Concrete Using Artificial Neural Network Model.” Civil Engineering Journal 4, no. 12 (December 24, 2018): 3005. doi:10.28991/cej-03091216.

Hodhod, Osama, and Gamal A. Salama. “Analysis of Sulfate Resistance in Concrete Based on Artificial Neural Networks and USBR4908-Modeling.” Ain Shams Engineering Journal 4, no. 4 (December 2013): 651–660. doi:10.1016/j.asej.2013.02.007.

Boukhatem, Bakhta, R. Rabouh, and M. Ghrici. "Optimizing a concrete mix design incorporating natural pozzolans using artificial neural networks." Computer Concrete 10, no. 6 (2012): 557-573.

Kellouche, Yasmina, Bakhta Boukhatem, Mohamed Ghrici, and Arezki Tagnit-Hamou. “Exploring the Major Factors Affecting Fly-Ash Concrete Carbonation Using Artificial Neural Network.” Neural Computing and Applications 31, no. S2 (June 19, 2017): 969–988. doi:10.1007/s00521-017-3052-2.

Douma, O.B., Boukhatem, B., Ghrici, M, and Hamou, A.T. “Prediction of properties of self-compacting concrete containing fly ash using artificial neural network”. Neural Computing Applications. 28 (1) (2017): 707-718. doi:10.1007/s00521-016-2368-7.

Sarıdemir, M. “Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic.” Advances in Engineering Software 40 (September 2009): 920–927. doi:10.1016/j.advengsoft.2008.12.008.

Siddique, R., Aggarwal, P, and Aggarwal, Y. “Prediction of compressive strength of self-compacting concrete containing bottom ash using artificial neural networks”. Advances in Engineering Software 42 (October 2011) 780–786. doi:10.1016/j.advengsoft.2011.05.016.

Chou, Jui-Sheng, and Anh-Duc Pham. “Enhanced Artificial Intelligence for Ensemble Approach to Predicting High Performance Concrete Compressive Strength.” Construction and Building Materials 49 (December 2013): 554–563. doi:10.1016/j.conbuildmat.2013.08.078.

Sobhani, J., Najimi, M., Pourkhorshidi, A.R, and Parhizkar, T. “Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models”. Construction and Building Materials 24 (2010) :709-718. doi:10.1016/j.conbuildmat.2009.10.037.

Özcan, F., Atiş, C.D., Karahan, O., Uncuoǧlu, E, and Tanyildizi, H. “Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete”. Advances in Engineering Software 40(9) (September 2009): 856-863. doi:10.1016/j.advengsoft.2009.01.005.

Raghu Prasad, B.K., Eskandari, H, and Venkatarama Reddy, B.V. “Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN”. Construction and Building Materials 23 (January 2009): 117-128. doi:10.1016/j.conbuildmat.2008.01.014.

Abu-Yaman, M., Abd-Elaty, M, and Taman, M. “Predicting the ingredients of self-compacting concrete using artificial neural network”. Alexandria Engineering Journal 56 (December 2017): 523–532. doi:10.1016/j.aej.2017.04.007.

Rebouh, R., Boukhatem, B., Ghrici, M, and Hamou, A.T. “A practical hybrid NNGA system for predicting the compressive strength of concrete containing natural pozzolan using an evolutionary structure.” Construction and Building Materials 149 (September 2017): 778–789. doi:10.1016/j.conbuildmat.2017.05.165.

Mirza, S.A, and Lacroix, E.A. “Comparative study of strength-computation methods for rectangular reinforced concrete columns.” ACI Structural Journal 99 (2002): 399-410.

Tahwia, A.M., Abdelraheem, A.H, and Taha, T. E. “Effect of Silica Fume on Mechanical and Durability Properties of Self-Compacting Concrete”. International Journal of Innovative Research in Science, Engineering and Technology 7(5) (May 2018): 6027 – 6039. doi:10.15680/IJIRSET.2018.0705183. .

Dinesh, A., Harini, S., Jasmine Jeba, P., Jincy, J, and Javed, S. “Experimental study on self-compacting concrete”. Intern Journ Enginee Scienc Resear Techno 6 (3) (March2017): 42 – 50. doi:10.5281/zenodo.345692.

Syed, A. “Fresh and Mechanical Properties of Self-Consolidating Concrete Incorporating Silica Fume and Metakaolin.” Master of Engineering in the Program of Civil Engineering, Toronto, Ontario, Canada. 2009.

Azizifar, Valiollah, and Milad Babajanzadeh. “Compressive Strength Prediction of Self-Compacting Concrete Incorporating Silica Fume Using Artificial Intelligence Methods.” Civil Engineering Journal 4, no. 7 (July 30, 2018): 1542. doi:10.28991/cej-0309193.

Nikbin, I.M., Beygi, M. H. A., Kazemi, M. T., Vaseghi Amiri, J., Rabbanifar, S., Rahmani, E, and Rahimi, S. “A comprehensive investigation into the effect of water to cement ratio and powder content on mechanical properties of self-compacting concrete.” Construction and Building Materials 57 (April 2014) : 69-80. doi:10.1016/j.conbuildmat.2014.01.098.

Felekoglu, B., Turkel, S, and Baradan, B. “Effect of water/cement ratio on the fresh and hardened properties of self-compacting concrete”. Building and environment 42 (April 2007): 1795–1802. doi:10.1016/j.buildenv.2006.01.012.

Hani, N., Nawawy, O., Ragab, K. S, and Kohail, M. “The effect of different water/binder ratio and nano-silica dosage on the fresh and hardened properties of self-compacting concrete.” Construction and Building Materials. 165 (March 2018): 504–513. doi:10.1016/j.conbuildmat.2018.01.045.

Gencel, O, C Ozel, W Brostow, and G Martínez-Barrera. “Mechanical Properties of Self-Compacting Concrete Reinforced with Polypropylene Fibres.” Materials Research Innovations 15, no. 3 (June 2011): 216–225. doi:10.1179/143307511x13018917925900.

Madandoust, R., Ghavidel, R, and Zadeh, N.N. “Evolutionary design of generalized GMDH-type neural network for prediction of concrete compressive strength using UPV.” Computational Materials Science 49(3)(2010):556-567. doi:10.1016/j.commatsci.2010.05.050.

Maage, M. “Strength and Heat Development in Concrete: Influence of Fly Ash and Condensed Silica Fume.” CANMET/ACI Fly, Silica Fume Slag Natural Pozzolans Concrete ACI SP 91- 44, 2 (1986): 923-940.

Carette, G.G, and Malhotra, V.M. “Long-term strength development of silica fume concrete.” CANMET/ACI Fly, Silica Fume, Slag, Natural Pozzolans Concrete, ACI 132-55 2 (1992): 1017-1044.

Malhotra, V.M. “Mechanical properties and freezing-and-thawing resistance of non-air-entrained and air-entrained condensed silica-fume concrete using ASTM test C 666.” procedures A and B D, CANMET/ACI, Fly, Silica Fume, Slag and Natural Pozzolans in Concrete, SP91-53,11 )1986): 1069-1094.

Ahmadi, Babak, and Mohammad Shekarchi. “Use of Natural Zeolite as a Supplementary Cementitious Material.” Cement and Concrete Composites 32, no. 2 (February 2010): 134–141. doi:10.1016/j.cemconcomp.2009.10.006.

Chan, S.Y.N, Ji, X. “Comparative study on the initial surface absorption and chloride diffusion of high performance zeolite, silica fume and PFA concretes.” Cement and Concrete Composites 21 (August 1999): 293–300. doi:10.1016/S0958-9465(99)00010-4.

Mardani-Aghabaglou, A., Tuyan, M., Yılmaz, G., Arıoz, O, and Ramyar, K. “Effect of different types of superplasticizer on fresh, rheological and strength properties of self-consolidating concrete”. Construction and Building Materials 47 (2013) 1020–1025. doi:10.1016/j.conbuildmat.2013.05.105.

Neville, A.M. “Properties of Concrete.” 4th Ed., Wiley and Sons, New York, U.S.A 1996.

Benaicha, M., Roguiez, X., Jalbaud, O., Burtschell, Y, and Alaoui, A.H. “Influence of silica fume and viscosity modifying agent on the mechanical and rheological behavior of self-compacting concrete”. Construction and Building Materials 84 (March 2015): 103–110. doi:10.1016/j.conbuildmat.2015.03.061.

Wongkeo, W., Thongsanitgarn, P., Ngamjarurojana, A, and Chaipanich, A. “Compressive strength and chloride resistance of self-compacting concrete containing high level fly ash and silica fume.” Materials Design. 64 (July 2014): 261–269. doi:10.1016/j.matdes.2014.07.042.

Abib, Z.E, “Formulation and characterization of self-compacting concrete (in French)”. MPhil thesis, University of science and technology, Houari Boumediene, Algiers, Algeria. 2004.

Güneyisi, E.,Gesoglu, M,and Özbay, E. “Strength and drying shrinkage properties of self-compacting concretes incorporating multi-system blended mineral admixtures”. Construction and Building Materials 24 (April 2010): 1878–1887. doi:10.1016/j.conbuildmat.2010.04.015.

Güneyisi, E., Gesoglu, M. Booya, E, and Mermerdas, K. “Strength and permeability properties of self-compacting concrete with cold bonded fly ash lightweight aggregate”. Construction and Building Materials74 (November 2014): 17–24. doi:10.1016/j.conbuildmat.2014.10.032.

Guneyisi, E., Gesoglu, M, and Booya, E. “Fresh properties of self-compacting cold bonded fly ash lightweight aggregate concrete with different mineral admixtures”. Materials and Structures. 45 (2012) 1849–59. doi:10.1617/s11527-012-9874-6.

Gesoglu, M., Güneyisi, E, and Özbay, E. “Properties of self-compacting concretes made with binary, ternary, and quaternary cementitious blends of fly ash, blast furnace slag, and silica fume”. Construction and Building Materials 23 (November 2008): 1847–1854. doi:10.1016/j.conbuildmat.2008.09.015.

Gesoglu, M, and Ozbay, E. “Effects of mineral admixtures on fresh and hardened properties of self-compacting concretes: binary, ternary and quaternary systems”. Materials and Structures 40 (2009): 923–937. doi:10.1617/s11527-007-9242-0.

Abdelgader, H.S., Elbajegni, S.A, and Elwefati, A.M. “Mix designs of self-compacting concrete using local materials "A case study from Libya.” Concrete Technology) October 2014): 70–78.

Behfarnia, Kiachehr, and Omid Farshadfar. “The Effects of Pozzolanic Binders and Polypropylene Fibers on Durability of SCC to Magnesium Sulfate Attack.” Construction and Building Materials 38 (January 2013): 64–71. doi:10.1016/j.conbuildmat.2012.08.035.

Hassan, Assem A.A., Mohamed Lachemi, and Khandaker M.A. Hossain. “Effect of Metakaolin and Silica Fume on the Durability of Self-Consolidating Concrete.” Cement and Concrete Composites 34, no. 6 (July 2012): 801–807. doi:10.1016/j.cemconcomp.2012.02.013.

Sabet, F.A., Libre, N.A, and Shekarchi. M. “Mechanical and durability properties of self-consolidating high performance concrete incorporating natural zeolite, silica fume and fly ash”. Construction and Building Materials 44 (April 2013): 175–184. doi:10.1016/j.conbuildmat.2013.02.069.

R'mili, A., Ben-Ouezdou, M., Added, M. and Ghorbel, E. “Prediction of the compressive strengths of self-compacting concrete”. Proceedings of International conference, INVACO, Hammamet, Tunisia; 2009. 195-204.

Asteris, Panagiotis G., and Konstantinos G. Kolovos. “Self-Compacting Concrete Strength Prediction Using Surrogate Models.” Neural Computing and Applications 31, no. S1 (April 28, 2017): 409–424. doi:10.1007/s00521-017-3007-7.

Safiuddin,Md., Yakhlaf, M, and Soudki, K.A. “Key mechanical properties and microstructure of carbon fibre reinforced self-consolidating concrete.” Construction and Building Materials 164 (December 2018): 477–488. doi:10.1016/j.conbuildmat.2017.12.172.

Vivek, S.S., and G. Dhinakaran. “Fresh and Hardened Properties of Binary Blend High Strength Self Compacting Concrete.” Engineering Science and Technology, an International Journal 20, no. 3 (June 2017): 1173–1179. doi:10.1016/j.jestch.2017.05.003.

Khodabakhshian, A., Brito, J., Ghalehnovi, M, and Shamsabadi E.A. “Mechanical, environmental and economic performance of structural concrete containing silica fume and marble industry waste powder”. Construction and Building Materials. 169 (March 2018): 237–251. doi:10.1016/j.conbuildmat.2018.02.192.

Turk, K., Karatas, M, and Ulucan, Z. C. “Effect of the use of different types and dosages of mineral additions on the bond strength of lap-spliced bars in self-compacting concrete”. Materials and Structures 43 (2010): 557–570. doi:10.1617/s11527-009-9511-1

Karatas, Mehmet, Kazim Turk, and Zulfu C. Ulucan. “Investigation of Bond between Lap-Spliced Steel Bar and Self-Compacting Concrete: The Role of Silica Fume.” Canadian Journal of Civil Engineering 37, no. 3 (March 2010): 420–428. doi:10.1139/l09-159.

Kennouche, S., Zerizer, A., Benmounah, A., Hami, B., Mahdad, M., Benouali, H,and Bedjou. S. “Formulation and characterization of self-compacting concrete with silica fume”. Journal of Engineering and Technology Research 5(5) (June 2013) : 160-169. doi:10.5897/JETR2013.0306.

Zende, Aijaz, and R. B. Khadiranaikar. “Experimental Investigation of High-Strength Self-Compacting Fibre-Reinforced Concrete.” Sustainable Construction and Building Materials (December 31, 2018): 345–358. doi:10.1007/978-981-13-3317-0_32.

Gholhaki, M., kheyroddin, A., Hajforoush, M, and Kazemi,M. “An investigation on the fresh and hardened properties of self-compacting concrete incorporating magnetic water with various pozzolanic material”. Construction and Building Materials 158 (October 2017): 173–180. doi:10.1016/j.conbuildmat.2017.09.135.

Faez, Azad, Arash Sayari, and Salar Manie. “Mechanical and Rheological Properties of Self-Compacting Concrete Containing Al2O3 Nanoparticles and Silica Fume.” Iranian Journal of Science and Technology, Transactions of Civil Engineering 44, no. S1 (January 10, 2020): 217–227. doi:10.1007/s40996-019-00339-y.

Choudhary, Rakesh, Rajesh Gupta, and Ravindra Nagar. “Impact on Fresh, Mechanical, and Microstructural Properties of High Strength Self-Compacting Concrete by Marble Cutting Slurry Waste, Fly Ash, and Silica Fume.” Construction and Building Materials 239 (April 2020): 117888. doi:10.1016/j.conbuildmat.2019.117888.

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DOI: 10.28991/cej-2021-03091642


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