Prediction Compressive Strength of Self-Compacting Concrete Containing Fly Ash Using Fuzzy Logic Inference System

Authors: O. Belalia Douma, B. Boukhatem, M. Ghrici

Abstract:

Self-compacting concrete (SCC) developed in Japan in the late 80s has enabled the construction industry to reduce demand on the resources, improve the work condition and also reduce the impact of environment by elimination of the need for compaction. Fuzzy logic (FL) approaches has recently been used to model some of the human activities in many areas of civil engineering applications. Especially from these systems in the model experimental studies, very good results have been obtained. In the present study, a model for predicting compressive strength of SCC containing various proportions of fly ash, as partial replacement of cement has been developed by using Fuzzy Inference System (FIS). For the purpose of building this model, a database of experimental data were gathered from the literature and used for training and testing the model. The used data as the inputs of fuzzy logic models are arranged in a format of five parameters that cover the total binder content, fly ash replacement percentage, water content, superplasticizer and age of specimens. The training and testing results in the fuzzy logic model have shown a strong potential for predicting the compressive strength of SCC containing fly ash in the considered range.

Keywords: Self-compacting concrete, fly ash, strength prediction, fuzzy logic.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337899

References:

[1] Ozawa K, Maekawa K, Kunishima H, Okamura H, “Performance of concrete based on the durability design of concrete structures” in Proc Sec East Asia Pacific CSEC, 1989, pp. 445–456.
[2] Rols S, Ambroise JP, Pera J, “Effects of different viscosity agents on the properties of self-levelling concrete”, Cem Concr Res, vol 29, pp. 261- 266, 1999.
[3] Okamura H, M., Ozawa,K. and Ouchi, M, “Self-compacting high performance concrete”, In: proceedings of the fifth EA SEC1995, pp. 2381-2388.
[4] European Guidelines for Self-Compacting Concrete: Specification, Production and Use, European Project Group, 2005.
[5] Bartos, P.J.M. y Grauers, M, “Self-Compacting Concrete”, Concrete, Vol. 33, nº 4, pp. 9-13, 1999.
[6] Skarendahl A, Ozawa K, Ouchi M, “Market acceptance of selfcompacting concrete”, The Swedish experience. In. Proc. 2nd inter symp on SCC, Coms Engineering Corporation Tokyo, pp. 1–13, 2001.
[7] Dhiyaneshwaran S, Ramanathan P, Baskar I and Venkatasubramani R, “Study on Durability Characteristics of Self-Compacting Concrete with Fly Ash”, Jordan Journal of Civil Engineering, Vol. 7, nº. 3, pp. 342- 352, 2013.
[8] Jino, John, Maya TM and Meenambal T, “Mathematical modeling for durability characteristics of fly ash concrete”. International Journal of Engineering Science and Technology, Vol. 4, n°. 1, pp. 353-361, 2012.
[9] Yahia A, Tanimura M, Shimabukuro A, Shimovama Y, “Effect of rheological parameters on self-compactability of concrete containing various mineral admixtures”, In International RILEM symposium on self-compacting concrete, pp. 523-535, 1999.
[10] Kurita M, Nomura T, “Highly-flowable steel fiber-reinforced concrete containing fly ash”. ACI Special Publication, Vol. 178, 1998.
[11] Gao, F. L, “A new way of predicting cement strength-fuzzy logic”, Cement and Concrete Research, Vol. 27, n° 6, pp. 883-888, 1997.
[12] Muthukumaran P, Demirli K, Stiharu I, Bhat RB “Boundary conditioning for structural tuning using fuzzy logic approach”, Comput Struct, Vol 74, n° 5, pp. 547-557, 2000.
[13] Akkurt, S., Tayfur, G., & Can, S, “Fuzzy logic model for the prediction of cement compressive strength”, Cement and Concrete Research, Vol. 34, n° 8, pp. 1429-1433, 2004.
[14] Nehdi ML, Bassuoni MT, “Fuzzy logic approach for estimating durability of concrete”, Proceedings of the ICE-Construction Materials, Vol. 62, n° 2, pp. 81-92, 2009.
[15] Gencel O, Ozel C, Koksal F, Martinez-Barrera G, Brostow W, Polat H, “Fuzzy Logic Model for Prediction of Properties of Fiber Reinforced Self-compacting Concrete ”, Materials Science, Vol. 19, n° 2, pp. 203- 215, 2013.
[16] Da Silva WRL, Štemberk P, “Predicting self-compacting concrete shrinkage based on a modified fuzzy logic model”, Engineering Mechanics, Vol. 229, pp. 1173-1183, 2012.
[17] G, Goktepe A. B, Ramyar K, Sezer A, “Prediction of sulfate expansion of PC mortar using adaptive neuro-fuzzy methodology”. Build Environ, Vol. 42, n° 7, pp. 1264-1269, 2007.
[18] Deka P. C and Diwate S. N, “Modeling Compressive Strength of Ready Mix Concrete Using Soft Computing Techniques”, International Journal of Earth Sciences and Engineering, Vol. 4, n° 6, pp. 793-796, 2011.
[19] Zadeh L. A, Klir G. J and Yuan B, “Advances in Fuzzy Systems - Applications and Theory”, Vol. 6, River Edge, NJ: World Scientific, 1996.
[20] Yurkovich S, Passino, K. M, “A Laboratory Course of Fuzzy Control”, IEEE Transactions on Education, Vol. 42, n° 1, pp.15-21, 1999.
[21] Sen Z, “Fuzzy Modeling in Engineering”, Class Notes, Civil Engineering Faculty, Istanbul Technical University, Istanbul, Turkey, 1999.
[22] Demuth H, Beale M, Hagan M, “Neural Network Toolbox 5, User’s Guide”, The MathWorks, Inc, 849 pp, 2007.
[23] Topçu İ B, Sarıdemir M, “Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic”. Computational Materials Science, Vol. 42, n° 1, pp. 74-82, 2008.
[24] Mamdani E H, Assilian S, “An experiment in linguistic synthesis with a fuzzy logic controller”, Int J Man-Mach Stud, Vol. 7, pp. 1-13, 1975.
[25] Takagi T, Sugeno M, “Fuzzy identification of systems and its applications to modeling and control”, IEEE Trans Syst Man Cyber, Vol. 15, pp. 116-132, 1985.
[26] Sugeno M, Kang GT. “Structure identification of fuzzy model”, Fuzzy Sets SystMan Cyber,Vol. 23, pp. 665-685, 1993.
[27] Bingöl, Ferhat A., Tohumcu I, “Effects of different curing regimes on the compressive strength properties of self compacting concrete incorporating fly ash and silica fume”. Materials & Design, Vol. 51, pp. 12-18, 2013.
[28] Mahmoud, E, Ibrahim A, El-Chabib H, Patibandla V. C, “Self- Consolidating Concrete Incorporating High Volume of Fly Ash, Slag, and Recycled Asphalt Pavement”, International Journal of Concrete Structures and Materials, Vol. 7, n° 2, pp. 155-163, 2013.
[29] Güneyisi E, Gesoğlu M, Özbay E, “Strength and drying shrinkage properties of self-compacting concretes incorporating multi-system blended mineral admixtures”, Construction and Building Materials, Vol. 24, n° 10, pp. 1878-1887, 2010.
[30] Khatib J. M, “Performance of self-compacting concrete containing fly ash”, Construction and Building Materials, Vol. 22, n° 9, pp. 1963-1971, 2008.
[31] Naik, T. R, Kumar R, Ramme B. W, Canpolat F, “Development of highstrength, economical self-consolidating concrete”, Construction and Building Materials, Vol. 30, pp. 463-469, 2012.
[32] Şahmaran M, Yaman İ. Ö, Tokyay M, “Transport and mechanical properties of self consolidating concrete with high volume fly ash”, Cement and concrete composites, Vol. 31, n° 2, pp. 99-106, 2009.
[33] Yazıcı H, “The effect of silica fume and high-volume Class C fly ash on mechanical properties, chloride penetration and freeze–thaw resistance of self-compacting concrete”, Construction and building Materials, Vol. 22, n° 4, pp. 456-462, 2008.