Priz Hızlandırıcı Katkılı Betonun Mekanik ve Dayanıklılık Özelliklerinin Taguchi Optimizasyonu

Öz

Prefabrike elemanların montajı sırasında zamandan tasarruf etmek çok önemlidir. Islak bağlantı türlerinde betonun priz alma süresi zamandan tasarruf edilmesini engellemektedir. Betonun priz süresini kısaltmak için literatürde birçok çalışma vardır. Özellikle son yıllarda korozyona neden olmadan beton priz süresini kısaltmak için geliştirilmiş priz hızlandırıcılar bulunmaktadır. Ancak priz hızlandırıcıların işlenebilirlik gibi taze beton özellikleri üzerindeki olumsuz etkisi, kullanımını zorlaştırmaktadır. Bu çalışmada, priz hızlandırıcı kullanılarak başlangıç dayanımı ve işlenebilirliği yüksek bir beton karışımı amaçlanmıştır. Bununla birlikte, kullanılacak priz hızlandırıcı oranını belirlemek için çok fazla karışım ortaya çıkmaktadır. Bu nedenle, Taguchi optimizasyonu ile karışım sayıları azaltılmıştır. Taguchi optimizasyonundan elde edilen karışım tasarımlarına gerekli testler yapılarak optimum karışım elde edilmiştir.

Anahtar Kelimeler

• Taguchi yöntemi
• priz hızlandırıcılar
• basınç dayanımı tahmini

Destekleyen Kurum

Konya Teknik Üniversitesi Bilimsel Araştırmalar Koordinatörlüğü ve TÜBİTAK

Proje Numarası

201104017 ve 120M378

Teşekkür

Yukarıda belirtilen kurumlara bu çalışmaya verdikleri destekten dolayı yazarlar teşekkürlerini sunarlar.

The Taguchi Optimization of Mechanical and Durability Properties of Accelerator Added Concrete

Öz

It is very important to save time during the assembly of prefabricated elements. In wet connection types, the setting time of the concrete might lead time lose. There are many studies investigates the methods to shorten the setting time of concrete. Especially in the recent years, there are accelerators developed to shorten concrete setting time without causing corrosion. However, the negative effect of accelerators on fresh concrete properties such as workability makes them difficult to use. In this study, it is aimed to produce a concrete mixture with high initial strength and workability by using an accelerator. However, it is highly difficult to determine proper ratio of the accelerator for the mixture without precasting significant number of concrete samples which requires time, manpower and material consumption. Therefore, Taguchi optimization is very useful method in order to reduce this number of samples and effort. The optimum mixture has been achieved by performing the required tests applied to mixture designs obtained from Taguchi optimization.

Anahtar Kelimeler

• Taguchi methods
• accelerators
• prediction of compressive strength

Proje Numarası

201104017 ve 120M378

Kaynakça

1. [1] Yang J., Guo T. and Chai S., "Experimental and numerical investigation on seismic behaviours of beam- column joints of precast prestressed concrete frame under given corrosion levels", Structures, 27: 1209–1221, (2020).
2. [2] Zhang C., Li H. and Gao W., "Development of a novel friction damped joint for damage-plasticity control of precast concrete walls", Engineering Structures, 219: 110850, (2020).
3. [3] Martin, Leslie D., and Christopher J. Perry E. "Precast and prestressed concrete", (Vol 1). PCI Design Handbook, Prestressed Concrete Institute, (2004).
4. [4] Shi C. and Day R.L., "Pozzolanic reaction in the presence of chemical activators. Part I. Reaction kinetics", Cement and Concrete Research, 30: 51–58, (2000).
5. [5] Singh N.B., Singh V.D., Rai S. and Chaturvedi S., "Effect of lignosulfonate, calcium chloride and their mixture on the hydration of RHA-blended portland cement" Cement and Concrete Research, 32: 387–392, (2002).
6. [6] Liu Z., Lou B., Barbieri D.M., Sha A., Ye T. and Li Y., "Effects of pre-curing treatment and chemical accelerators on Portland cement mortars at low temperature (5 °C)", Construction and Building Materials, 240: 117893, (2020).
7. [7] Yum W.S., Suh J Il., Sim S., Yoon S., Jun Y. and Oh J.E., "Influence of calcium and sodium nitrate on the strength and reaction products of the CaO-activated GGBFS system", Construction and Building Materials, 215: 839–848, (2019).
8. [8] Ghosh D., Abd-elssamd A., John Z. and Hun D., "Development of high-early-strength fiber-reinforced self-compacting concrete", Construction and Building Materials, 266: 121051, (2021).

9. [9] Chang C.Y., Huang R., Lee P.C. and Weng T.L., "Application of a weighted Grey-Taguchi method for optimizing recycled aggregate concrete mixtures", Cement and Concrete Composites, 33: 1038–1049, (2011).
10. [10] Fattahi Amirdehi H.R., Aliha M.R.M., Moniri A. and Torabi A.R., "Using the generalized maximum tangential stress criterion to predict mode II fracture of hot mix asphalt in terms of mode I results – A statistical analysis", Construction and Building Materials, 213: 483–491, (2019).
11. [11] Aliha M.R.M. and Ayatollahi M.R., "Rock fracture toughness study using cracked chevron notched Brazilian disc specimen under pure modes I and II loading - A statistical approach", Theoretical and Applied Fracture Mechanics, 69: 17–25, (2014).
12. [12] Dantas A.T.A., Batista Leite M. and De Jesus Nagahama K., "Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks", Construction and Building Materials, 38: 717–722, (2013).
13. [13] Zhang J., Ma G., Huang Y., Sun J., Aslani F. and Nener B., "Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression", Construction and Building Materials, 210: 713–719, (2019).
14. [14] Zhang J., Li D. and Wang Y., "Toward intelligent construction: Prediction of mechanical properties of manufactured-sand concrete using tree-based models", Journal of Cleanear Production, 258: 120665, (2020).
15. [15] Sharifi E., Sadjadi S.J., Aliha M.R.M. and Moniri A., "Optimization of high-strength self-consolidating concrete mix design using an improved Taguchi optimization method", Construction and Building Materials, 236: 117547, (2020).
16. [16] Tanyildizi H. and Şahin M., "Application of Taguchi method for optimization of concrete strengthened with polymer after high temperature", Construction and Building Materials, 79: 97–103, (2015).
17. [17] Joshaghani A., Ramezanianpour A.A., Ataei O. and Golroo A., "Optimizing pervious concrete pavement mixture design by using the Taguchi method", Construction and Building Materials, 101: 317–325, (2015).
18. [18] Zhang J., Li D. and Wang Y., "Predicting tunnel squeezing using a hybrid classifier ensemble with incomplete data", Bulletin of Engineering Geology and Environment, 79: 3245–3256, (2020).
19. [19] Zhang J., Huang Y., Wang Y. and Ma G., "Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms", Construction and Building Materials, 253: 119208, (2020).
20. [20] Zhang J., Li D. and Wang Y., "Predicting uniaxial compressive strength of oil palm shell concrete using a hybrid artificial intelligence model", Journal of Building Engineering, 30: 101282, (2020).
21. [21] Sun Y., Zhang J., Li G., Wang Y., Sun J. and Jiang C., "Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes", International Journal of Numerical Analytical Methods Geomechanics, 43: 801–813, (2019).
22. [22] Sun J., Zhang J., Gu Y., Huang Y., Sun Y. and Ma G., "Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression", Construction and Building Materials, 207: 440–449, (2019).
23. [23] Chou C.S., Yang R.Y., Chen J.H. and Chou S.W., "The optimum conditions for preparing the lead-free piezoelectric ceramic of Bi0.5Na0.5TiO3 using the Taguchi method", Powder Technology, 199: 264–271, (2010).
24. [24] Türkmen İ., Gül R., Çelİk C. and Demirboğa R., "Determination by the taguchi method of optimum conditions for mechanical properties of high strength concrete with admixtures of silica fume and blast furnace slag", Civil Engineering and Environmental Systems, 20: 105–118, (2003).
25. [25] Ferdous W., Manalo A. and Aravinthan T., "Bond behaviour of composite sandwich panel and epoxy polymer matrix: Taguchi design of experiments and theoretical predictions.", Construction and Building Materials, 145: 76–87, (2017).
26. [26] Prusty J.K., and Pradhan B., "Multi-response optimization using Taguchi-Grey relational analysis for composition of fly ash-ground granulated blast furnace slag based geopolymer concrete", Construction and Building Materials, 241: 118049, (2020).
27. [27] Celik N., Pusat G. and Turgut E., "Application of Taguchi method and grey relational analysis on a turbulated heat exchanger", International Journal of Thermal Sciences, 124: 85–97, (2018).
28. [28] Teimortashlu E., Dehestani M. and Jalal M., "Application of Taguchi method for compressive strength optimization of tertiary blended self-compacting mortar", Construction and Building Materials, 190: 1182–1191, (2018).
29. [29] Chen W.C. and Kurniawan D., "Process parameters optimization for multiple quality characteristics in plastic injection molding using Taguchi method, BPNN, GA, and hybrid PSO-GA", International Journal of Precision Engineering and Manufacturing, 15: 1583–1593, (2014).
30. [30] Gopalsamy B.M., Mondal B. and Ghosh S., "Taguchi method and anova: An approach for process parameters optimization of hard machining while machining hardened steel", Journal of Scientific and Industrial Research, 68: 686–695, (2009).
31. [31] Mehta A., Siddique R., Singh B.P., Aggoun S., Łagód G. and Barnat-Hunek D., "Influence of various parameters on strength and absorption properties of fly ash based geopolymer concrete designed by Taguchi method", Construction and Building Materials, 150: 817–824, (2017).
32. [32] Jafari K., Tabatabaeian M., Joshaghani A. and Ozbakkaloglu T., "Optimizing the mixture design of polymer concrete: An experimental investigation", Construction and Building Materials, 167: 185–196, (2018).
33. [33] TS EN 12350-5, "Testing fresh concrete- Part 5: Flow table test", Turkish Standard, (2010).
34. [34] TS EN 12390-2, "Testing hardened concrete- Part 2: Making and curing specimens for strength tests", Turkish Standard, (2010).
35. [35] TS 3114, "Determination of compressive strength of concrete test specimens", Turkish Standard, (1998).
36. [36] Salvador R.P., Rambo D.A.S., Bueno R.M., Lima S.R. and Figueiredo A.D., "Influence of accelerator type and dosage on the durability of wet-mixed sprayed concrete against external sulfate attack", Construction and Building Materials, (2020).
37. [37] Yang H., Yan Y. and Hu Z., "The preparation of nano calcium carbonate and calcium silicate hardening accelerator from marble waste by nitric acid treatment and study of early strength effect of calcium silicate on C30 concrete", Journal of Building Engineering, 32: 101507, (2020).
38. [38] Min T.B., Cho I.S., Park W.J., Choi H.K. and Lee H.S., "Experimental study on the development of compressive strength of early concrete age using calcium-based hardening accelerator and high early strength cement", Construction and Building Materials, 64: 208–214, (2014).
39. [39] Zhang L., Yamauchi K., Li Z., Zhang X., Ma H. and Ge S., "Novel understanding of calcium silicate hydrate from dilute hydration", Cement and Concrete Research, 99: 95–105, (2017).
40. [40] Do T.A., Hoang T.T., Bui-Tien T., Hoang H.V., Do T.D. and Nguyen P.A., "Evaluation of heat of hydration, temperature evolution and thermal cracking risk in high-strength concrete at early ages", Case Studies in Thermal Engineering, 21: 100658, (2020).
41. [41] Shen D., Wen C., Zhu P., Wu Y. and Yuan J., "Influence of Barchip fiber on early-age autogenous shrinkage of high strength concrete", Construction and Building Materials, 256: 119223, (2020).