Prediction of Fresh and Hardened Properties of Self-Consolidating Concrete Using Neurofuzzy Approach
Publication: Journal of Materials in Civil Engineering
Volume 21, Issue 11
Abstract
Self-consolidating concrete (SCC) developed in Japan in the late 80s has enabled the construction industry to reduce demand on the resources, improve the work conditions and also reduce the impact on the environment by elimination of the need for compaction. This investigation aimed at exploring the potential use of the neurofuzzy (NF) approach to model the fresh and hardened properties of SCC containing pulverised fuel ash (PFA) as based on experimental data investigated in this paper. Twenty six mixes were made with water-to-binder ratio ranging from 0.38 to 0.72, cement content ranging from 183 to , dosage of PFA ranging from 29 to , and percentage of superplasticizer, by mass of powder, ranging from 0 to 1%. Nine properties of SCC mixes modeled by NF were the slump flow, JRing combined to the Orimet, JRing combined to cone, V-funnel, L-box blocking ratio, segregation ratio, and the compressive strength at 7, 28, and 90 days. These properties characterized the filling ability, the passing ability, the segregation resistance of fresh SCC, and the compressive strength. NF model is constructed by training and testing data using the experimental results obtained in this study. The results of NF models were compared with experimental results and were found to be quite accurate. The proposed NF models offers useful modeling approach of the fresh and hardened properties of SCC containing PFA.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This research was supported by the Engineering and Physical Sciences Research Council (EPSRC) of United Kingdom Grant No. EPSRC-GBGR/R75229/01 (M. Sonebi), and Gaziantep University Project Research Unit (A. Cevik).
References
Bartos, P. J. M., Sonebi, M., and Tamimi, A. (2002). “Workability and rheology of fresh concrete: Compendium of tests.” RILEM Technical Committee Rep. No. TC 145-WSM, Workability of Special Concrete Mixes, RILEM Publications S.A.R.L, Paris.
Bouzoubaâ, N., and Lachemi, M. (2001). “Self-compacting concrete incorporating high volumes of class F fly ash preliminary results.” Cem. Concr. Res., 31, 413–420.
Domone, P. L., and Chai, H. W. (1996). “Design and testing self-compacting concrete.” Proc., Int. RILEM Conf. on Production Methods and Workability of Concrete, E & FN Spon, Glasgow, 223–236.
European Federation for Specialist Construction Chemicals and Concrete Systems. (2005). The European guidelines for self-compacting concrete: Specification, production and use, Farnham, U.K.
Ghezal, A., and Khayat, K. H. (2002). “Optimizing self-consolidating concrete with limestone filler by using statistical factorial design methods.” ACI Mater. J., 99, 264–272.
Haris, J. (2006). Fuzzy logic applications in engineering science, Springer, New York.
Jang, J. S. R., Sun, C. T., and Mizutani, E. (1997). Neuro-fuzzy and soft computing, a computational approach to learning and machine intelligence, Prentice-Hall, Upper Saddle River, N.J.
Okamura, H. (1997). “Self-Compacting high-performance concrete.” Concr. Int., 19, 50–54.
Ozawa, K., Sakata, N., and Okamura, H. (1995). “Evaluation of self-compactibility of fresh concrete using the funnel test.” Concrete library of JSCE, Vol. 25, 59–75.
Rutkowski, L. (2004). Flexible neuro-fuzzy systems: Structures, learning and performance evaluation, Kluwer Academic, Boston.
Sivanandam, S. N., Sumathi, S., and Deepa, S. N. (2007). Introduction to fuzzy logic using MATLAB, Springer, New York.
Sonebi, M., and Bartos, P. J. M. (2001). “Performance of reinforced columns cast with self-compacting concrete.” Proc., 5th CANMET/ACI Int. Conf. on Recent Advances in Concrete Technology, American Concrete Institute, Farmington Hills, Mich., 415–431.
Sonebi, M., and Bartos, P. J. M. (2002). “Filling ability and plastic settlement of self-compacting concrete.” Mater. Struct., 35(8), 462–469.
Sonebi, M., Bartos, P. J. M., and Tamimi, A. (2001). “Flexural response and performance of reinforced beams cast with self-compacting concrete.” Proc., 2nd Int. Symp. on Self-Compacting Concrete, K. Ozawa and M. Ouchi, eds., COMS Engineering Corp., Tokyo, 517–526.
Tang, L., Andalen, A., Johansson, J. O., and Hjelm, S. (1999). “Chloride diffusivity of self-compacting concrete.” Proc., First Int. RILEM Symp. on Self-Compacting Concrete, RILEM Publications, Sweden, 187–198.
Xie, Y., Liu, B., Yin, J., and Siiqiong, Z. (2002). “Optimum mix parameters of high-strength self-compacting concrete with ultrapulverised fly ash.” Cem. Concr. Res., 32, 477–480.
Yahia, A., Tanimura, M., Shimabukuro, A., Shimoyama, Y., and Tochigi, T. (1999). “Effect of mineral admixtures on rheological properties of equivalent self-compacting concrete mortar.” Proc., 7th East Asia-Pacific Conf. on Structural Engineering and Construction, H. Okamura and H. Shima, Vol. 21, COMS Engineering Corp., Japan, 559–564.
Ying, Y., Bai, H., and Zhuang, D. Wang, (2006). Advanced fuzzy logic technologies in industrial applications, Springer, New York.
Zadeh, L. A. (1965). “Fuzzy sets.” Inf. Control., 8, 338–353.
Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 21 • Issue 11 • November 2009
Pages: 672 - 679
Copyright
© 2009 ASCE.
History
Received: May 15, 2008
Accepted: Apr 21, 2009
Published online: Oct 15, 2009
Published in print: Nov 2009
Notes
Note. Associate Editor: Carl Liu
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.