Computers and Concrete

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Statistical models for mechanical properties of UHPC using response surface methodology

  • Mosaberpanah, Mohammad A. (Department of Civil Engineering, Girne American Univesity (GAU)) ;
  • Eren, Ozgur (Department of Civil Engineering, Eastern Mediterranean University (EMU))
  • Received : 2016.12.01
  • Accepted : 2017.02.17
  • Published : 2017.06.25
⟨ Previous Next ⟩

Abstract

One of the main disadvantages of Ultra High Performance Concrete exists in the large suggested value of UHPC ingredients. The purpose of this study was to find the models mechanical properties which included a 7, 14 and 28-day compressive strength test, a 28-day splitting tensile and modulus of rupture test for Ultra High Performance Concrete, as well as, a study on the interaction and correlation of five variables that includes silica fume amount (SF), cement 42.5 amount, steel fiber amount, superplasticizer amount (SP), and w/c mechanical properties of UHPC. The response surface methodology was analyzed between the variables and responses. The relationships and mathematical models in terms of coded variables were established by ANOVA. The validity of models were checked by experimental values. The offered models are valid for mixes with the fraction proportion of fine aggregate as; 0.70-1.30 cement amount, 0.15-0.30 silica fume, 0.04-0.08 superplasticizer, 0.10-0.20 steel fiber, and 0.18-0.32 water binder ratio.

Keywords

References

  1. Aldahdooh, M.A.A., Bunnori, N.M. and Johari, M.M. (2013), "Evaluation of ultra-high-performance-fiber reinforced concrete binder content using the response surface method", Mater. Des., 52, 957-965. https://doi.org/10.1016/j.matdes.2013.06.034
  2. Alqadi, A.N., Mustapha, K.N.B., Naganathan, S. and Al-Kadi, Q.N. (2013), "Development of self-compacting concrete using contrast constant factorial design", J. King Saud Univ.-Eng. Sci., 25(2), 105-112. https://doi.org/10.1016/j.jksues.2012.06.002
  3. Bektas, F. and Bektas, B.A. (2014), "Analyzing mix parameters in ASR concrete using response surface methodology", Constr. Build. Mater., 66, 299-305. https://doi.org/10.1016/j.conbuildmat.2014.05.055
  4. Dils, J., Boel, V. and De Schutter, G. (2013), "Influence of cement type and mixing pressure on air content, rheology and mechanical properties of UHPC", Constr. Build. Mater., 41, 455-463. https://doi.org/10.1016/j.conbuildmat.2012.12.050
  5. Ghafari, E., Bandarabadi, M., Costa, H. and Julio, E. (2015), "Prediction of fresh and hardened state properties of UHPC: Comparative study of statistical mixture design and an artificial neural network model", J. Mater. Civil Eng., 27(11), 04015017. https://doi.org/10.1061/(ASCE)MT.1943-5533.0001270
  6. Lotfy, A., Hossain, K.M. and Lachemi, M. (2015), "Statistical models for the development of optimized furnace slag lightweight aggregate self-consolidating concrete", Cement Concrete Compos., 55, 169-185. https://doi.org/10.1016/j.cemconcomp.2014.09.009
  7. Mohammed, B.S., Abdullahi, M. and Hoong, C.K. (2014), "Statistical models for concrete containing wood chipping as partial replacement to fine aggregate", Constr. Build. Mater., 55, 13-19. https://doi.org/10.1016/j.conbuildmat.2014.01.021
  8. Mosaberpanah, M.A. and Eren, O. (2016), "$CO_2$-full factorial optimization of an ultra-high performance concrete mix design", Eur. J. Environ. Civil Eng., 1-14.
  9. Mosaberpanah, M.A. and Eren, O. (2016), "Statistical flexural toughness modeling of ultra high performance concrete using response surface method", Comput. Concrete, 17(4), 477-488. https://doi.org/10.12989/cac.2016.17.4.477
  10. Rahdar, H.A. and Ghalehnovi, M. (2016), "Post-cracking behavior of UHPC on the concrete members reinforced by steel rebar", Comput. Concrete, 18(1), 139-154. https://doi.org/10.12989/cac.2016.18.1.139
  11. Sebaibi, N., Benzerzour, M., Sebaibi, Y. and Abriak, N.E. (2013), "Composition of self-compacting concrete (SCC) using the compressible packing model, the Chinese method and the European standard", Constr. Build. Mater., 43, 382-388. https://doi.org/10.1016/j.conbuildmat.2013.02.028
  12. Senthil Kumar, K. and Baskar, K. (2014), "Response surfaces for fresh and hardened properties of concrete with E-waste (HIPS)", J. Waste Manage.
  13. Serelis, E., Deligia, M., Vaitkevicius, V. and Kersevicius, V. (2015), "Influence of water to cement ratio with different amount of binder on properties of ultra-high performance concrete", J. Sustain. Architect. Civil Eng., 10(1), 78-86.
  14. Wang, C., Yang, C., Liu, F., Wan, C. and Pu, X. (2012), "Preparation of ultra-high performance concrete with common technology and materials", Cement Concrete Compos., 34(4), 538-544. https://doi.org/10.1016/j.cemconcomp.2011.11.005
  15. Wang, X.Y. (2014), "Properties prediction of ultra high performance concrete using blended cement hydration model", Constr. Build. Mater., 64, 1-10. https://doi.org/10.1016/j.conbuildmat.2014.04.084
  16. Wille, K., Naaman, A.E., El-Tawil, S. and Parra-Montesinos, G.J. (2012), "Ultra-high performance concrete and fiber reinforced concrete: Achieving strength and ductility without heat curing", Mater. Struct., 45(3), 309-324. https://doi.org/10.1617/s11527-011-9767-0
  17. Yu, R., Spiesz, P. and Brouwers, H.J.H. (2014), "Mix design and properties assessment of ultra-high performance fibre reinforced concrete (UHPFRC)", Cement Concrete Res., 56, 29-39. https://doi.org/10.1016/j.cemconres.2013.11.002

Cited by

  1. Development of fiber reinforced self-compacting concrete (FRSCC): Towards an efficient utilization of quaternary composite binders and fibers vol.9, pp.4, 2017, https://doi.org/10.12989/acc.2020.9.4.387
  2. Nano- and Micro-Modification of Building Reinforcing Bars of Various Types vol.11, pp.4, 2017, https://doi.org/10.3390/cryst11040323