The evaluation on the effect of effective and repetitive vibration to compressive strength with the fuzzy method

In this study, it was aimed to develop alternative prediction models for estimating the compressive strengths of concrete with different concrete classes and different slump values. An experimental study based on repetitive vibration application was performed in the laboratory environment and prediction models were developed on the basis of fuzzy logic with reference to this experimental study. In the experimental study, the concretes which are in C20 and C35 and have K3, K5 settlement values were produced and determined compressive strengths of the concretes which hides in suitable conditions after 30 minutes, 60 minutes and 90 minutes, 7 and 28 days, respectively. Other results are evaluated with considering the 28 day concrete strength of concretes which once-vibrated. The concrete pressure endurance of the vibration time and its repeated applications are predicted by the graphical representation of fuzzy logic methods. The compressive strength values obtained from the prediction models and the compressive strength values of the experimental data were compared and evaluated. As a result, it is seen that the prediction of the concrete pressure endurance with the fuzzy model is possible and the fuzzy model is predicted more accurately to the concrete pressure endurance.

Keywords:

Vibration, Repetitive Vibration, Compressive Strength Pressure Endurance, Fuzzy Logic,

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1. Erdoğan T. Y., Concrete, 2003, Ankara: METU Press, 1st Edition, pp. 66-67, 191-198, 652-677.
2. TS 802, “Design Concrete Mixes”. Turkish Standards Institute, Ankara, March 2016.
3. TS 1247, Mixing, Placing and Curing of Concrete (Normal Weather Conditions), Turkish Standards Institute, Ankara, 1984.
4. TS EN 206:2013+A1, Concrete - Specification, Performance, Production and Conformity Standard", January 2017.
5. TS EN 12390-2, Concrete – Testing Hardened Concrete”, Part 5: Compressive strength of test specimens, Turkish Standards Institute, Ankara, 2003.
6. Uyan M., Pekmezci B.Y. Effect of Revibration on Concrete Properties, Prefabrikasyon Magazine, 2001. 60 (October): p. 5-8.
7. Vollick C. A., Effect of Revibrating Concrete, ACI Journal, Proceedings, 1958. 54(9): pp.731-732.
8. Khalaf M. N., Yousif M. H. A., Effect of Revibration on the Stability and Compactibility of Concrete, Cement and Concrete Research, 1985. 15: pp. 842-848.
9. Çakıroğlu M.A., Terzi S., Kasap S., Çakıroğlu M.G., Estimating the Concrete Pressure Strength with Fuzzy Logic Method, Yapı Teknolojileri Elektronik Magazine, 2010. 6 (2): 1-8.
10. Terzi, S., Modeling the Effect of Bitumen Amount on Asphalt Concrete Strength with Fuzzy Logic Method, 4th International Advanced Technologies Symposium, 2005: Konya. 28-30 September.
11. Kuşan H., Aytekin O., Özdemir İ. Risks Assessment in Construction Projects with Fuzzy Logic Model, Engineering Sciences, 1A0359, 2016. 11(1): 1-14.
12. Şen Z. Modeling Principles in Engineering with Fuzzy Logic, Su Foundation Publications, Istanbul, 2004. pp:191.
13. Şen Z. Fuzzy algorithm for estimation of solar irradiation from sunshine duration. Solar Energy, 1998. 63(1): pp:39-49.
14. Pakdamar F., Güler K., (2011) “Flexible performance of reinforced concrete beams” ITU Journal Series D: Engineering, 2011. 10(5): pp. 59-70.
15. Özdemir İ., Aytekin O., Kuşan H. Calculating Betterment Fee with Fuzzy Logic Approach, 4th Construction Management Congress, Istanbul, 2007. pp.181-190.
16. Yılmaz K., Canpolat F. Importance of Active Vibration on Concrete Quality, Eng. & Arch. Fac. Osmangazi University Magazine, 2002. 15(2): pp. 1-10.
17. Akan R,, Keskin S.,N. Investigation of the Contribution of Jet Grouting to Soil Improvement and the Effects of the Parameters Used in This Method, Suleyman Demirel University Journal of Natural and Applied Science, 2014. 18(2): pp. 22-26.
18. ACI 309R-96, Guide for Consolidation of Concrete, ACI Manual of Concrete Practice, Detroit, 1996.
19. ACI 309.1 R-98, Behavior of Fresh Concrete During Vibration”, ACI Manual of Concrete Practice, Detroit, 1998.
20. Subaşi S.,Beycioğlu A., Çullu M., Prediction Of Compressive Strength On Revibrated Concrete Using Fuzzy Logic And Statistical Based Methods” SDU International Journal of Technologic Sciences, 2010. 2(3): pp. 46-52

International Advanced Researches and Engineering Journal-Cover

Yayın Aralığı: Yılda 3 Sayı
Başlangıç: 2017
Yayıncı: Dr. Ceyhun YILMAZ

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