Browse > Article
http://dx.doi.org/10.12989/acc.2020.10.6.463

Evaluation of mathematical models for prediction of slump, compressive strength and durability of concrete with limestone powder  

Bazrafkan, Aryan (Department of Civil Engineering, Sanandaj Branch, Islamic Azad University)
Habibi, Alireza (Department of Civil Engineering, Shahed University)
Sayari, Arash (Department of Civil Engineering, Sanandaj Branch, Islamic Azad University)
Publication Information
Advances in concrete construction / v.10, no.6, 2020 , pp. 463-478 More about this Journal
Abstract
Multiple mathematical modeling for prediction of slump, compressive strength and depth of water penetration at 28 days were performed using statistical analysis for the concrete containing waste limestone powder as partial replacement of sand obtained from experimental program reported in this research. To extract experimental data, 180 concrete cubic samples with 20 different mix designs were investigated. The twenty non-linear regression models were used to predict each of the concrete properties including slump, compressive strength and water depth penetration of concrete with waste limestone powder. Evaluation of the models using numerical methods showed that the majority of models give acceptable prediction with a high accuracy and trivial error rates. The 15-term regression models for predicting the slump, compressive strength and water depth were found to have the best agreement with the tested concrete specimens.
Keywords
concrete; limestone powder; slump; compressive strength; water penetration; prediction;
Citations & Related Records
Times Cited By KSCI : 12  (Citation Analysis)
연도 인용수 순위
1 Mazloom, M. and Miri, S.M. (2017), "Interaction of magnetic water, silica fume and superplasticizer on fresh and hardened properties of concrete", Adv. Concrete Constr., 5(2), 87-99. http://dx.doi.org/10.12989/acc.2017.5.2.087.   DOI
2 Mendes, S.E.S., Oliveira, R.L.N., Cremonez, C., Pereira, E., Pereira, E. and Medeiros-Junior, R.A. (2018), "Electrical resistivity as a durability parameter for concrete design: Experimental data versus estimation by mathematical model", Constr. Build. Mater., 192, 610-620. https://doi.org/10.1016/j.conbuildmat.2018.10.145.   DOI
3 Moutassem, F. and Chidiac, S.E. (2016), "Assessment of concrete compressive strength prediction models", KSCE J. Civil Eng., 20(1), 343-358. https://doi.org/10.3923/jas.2009.155.160.   DOI
4 Omar, O.D., Abd Elhamed, G.D., Sherif, M.A. and Mohamadien, H.A. (2012), "Influence of limestone waste as partial replacement material for sand and marble powder in concrete properties", Hous. Build. Nat. Res. Center., 8, 193-203. https://doi.org/10.1016/j.hbrcj.2012.10.005.   DOI
5 Sahani, A.K., Samanta, A.K. and Singha Ray, D.K. (2019), "Influence of mineral by-products on compressive strength and microstructure of concrete at high temperature", Adv. Concrete Constr., 1(4), 263-275. https://doi.org/10.12989/acc.2019.7.4.263.   DOI
6 Allahverdi, A. and Mahinroosta, M. (2014), "A model for prediction of compressive strength of chemically activated high phosphorous slag content cement", Int. J. Civil Eng., 12(4), 481-487.
7 ASTM Standards: C33/C33M-18 (2018), Standard Specification for Concrete Aggregates, American Society for Testing and Materials.
8 Alshahvani, R.B.A. (2011), "Effect of partial replacement of sand with limestone filler on some properties of normal concrete", Al-Rafidain Eng., 19(3), 37-48. https://doi.org/10.33899/rengj.2011.27014.   DOI
9 Aminul Haque, M. and Rasel-Ul-Alem, Md. (2018), "Non-linear models for the prediction of specified design strengths of concretes development profile", Hous. Build. Nat. Res. Center, 14, 123-136. https://doi.org/10.1016/j.hbrcj.2016.04.004.   DOI
10 Anandaraj, S., Rooby, J., Ravindran, G., Beerala, A.K., Mulukalla, V. and Koduri, S. (2018), "Strength prediction using ANN for concrete with marble and quarry dust", International Conference on Intelligent Computing and Communication for Smart World, India.
11 Ayat, H., Kellouche, Y., Ghrici, M. and Boukhatem, B. (2018), "Compressive strength prediction of limestone filler concrete using artificial neural networks", Adv. Comput. Des., 3(3), 289-302. https://doi.org/10.12989/acd.2018.3.3.289.   DOI
12 ACI: 211.1-91 (2009), Standard Practice for Selecting Proportions for Normal, Heavyweight, and Mass Concrete, American Concrete Institute.
13 Singh, M., Sirvastana, A. and Bhunia, D. (2019), "Analytical and experimental investigations on using waste marble powder in concrete", J. Mater. Civil Eng., 31(4), 04019011. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002631.   DOI
14 Zaitri, R., Bederina, M., Bouziani, T., Makhlofi, Z. and Hadjoudja, M. (2014), "Development of high performances concrete based on the addition of grinded dune sand and limestone rock using the mixture design modeling approach", Constr. Build. Mater., 60, 8-16. https://doi.org/10.1016/j.conbuildmat.2014.02.062.   DOI
15 Zdenek, P.B., Chern, J.C., Rosenberg, A.M. and JGaidis, J.M. (1988), "Mathematical model for freeze-thaw durability of concrete", J. Am. Ceramic Soc., 71(9), 776-783. https://doi.org/10.1111/j.1151-2916.1988.tb06413.x.   DOI
16 Sayed-Ahmed, M. (2012), "Statistical modeling of prediction of compressive strength of concrete", Concrete Res. Lett., 3(2), 452-458.
17 Aliabdo, A.A., Abd Elmoaty, A.E.M. and Auda, E.M. (2014), "Reuse of waste marble dust in the production of cement and concrete", Constr. Build. Mater., 50, 28-41. https://doi.org/10.1016/j.conbuildmat.2013.09.005.   DOI
18 Bonavetti, V., Donza, H., Menendez, G., Cabrera, O. and Irassar, E.F. (2003), "Limestone filler cement in low w/c concrete: A rational use of energy", Cement Concrete Res., 33, 865-871. https://doi.org/10.1016/S0008-8846(02)01087-6.   DOI
19 Bahoria, B.V., Parbat, D.K., Nagarmaik, P.B. and Waghe, U.P. (2015), "Development of mathematical models for compressive strength of concrete containing quarry dust and waste plastic as sand replacement", 7th International Conference on Emerging Trends in Engineering and Technology (ICETET)., 72-75.
20 Binici, H., Kaplan, H. and Yilmaz, S. (2007), "Influence of marble and limestone dusts as additives on some mechanical properties of concrete", Scientif. Res. Essay., 2(9), 372-379. https://doi.org/10.5897/SRE.9000594.   DOI
21 BS EN 12390-8 (2019), Testing Hardened Concrete, Depth of Penetration of Water under Pressure.
22 BS EN 12350-2 (2019), Testing Fresh Concrete, Slump Test.
23 BS EN 12390-2 (2019), Testing Hardened Concrete, Making and Curing Specimens for Strength Tests.
24 BS EN 12390-3 (2019), Testing Hardened Concrete, Compressive Strength of Test Specimens.
25 Chen, L. (2010), "Grey and neural network prediction of concrete compressive strength using physical properties of electric arc furnace oxidizing slag", J. Envir. Eng. Manage., 20, 189-194.
26 Suwito, A., Jin, W., Xi, Y. and Meyer, C. (2002), "A mathematical model for the pessimum size effect of ASR in concrete", Concrete Sci. Eng., 4(13), 23-34.
27 Imam, A., Kumar, V. and Srivastana, V. (2018), "Review study towards effect of silica fume on the fresh and hardened properties of concrete", Adv. Concrete Constr., 6(2), 145-157. http://dx.doi.org/10.12989/acc.2018.6.2.145.   DOI
28 Didouche, Z., Ezziane, K. and Kadri, E.H. (2018), "Predicted of hydration heat and compressive strength of limestone cement mortar with different type of superplasticizer", Adv. Concrete Constr., 6(6), 659-677. http://dx.doi.org/10.12989/acc.2018.6.6.659.   DOI
29 Djezzar, M., Ezziane, K., Kadri, A. and Kadri, E.H. (2018), "Modeling of ultimate value and kinetic of compressive strength and hydration heat of concrete made with different replacement rates of silica fume and w/b ratios", Adv. Concrete Constr., 6(3), 297-309. ttp://dx.doi.org/10.12989/acc.2018.6.3.297.   DOI
30 Guemmadi, Z., Reshidat, M., Chabil, H. and Toumi, B. (2009), 'Modeling the influence of limestone filler on concrete: A new approach for strength and cost", Jordan J. Civil Eng., 3(2), 158-171.
31 Kumar, M., Oey, T., Kim, S., Thomas, D., Badran S., Li, J., Fernandes, F., Neithalath, N. and Sant, G. (2013), "Simple methods to estimate the influence of limestone fillers on reaction and property evolution in cementitious materials", Cement Concrete Compos., 42, 20-29. https://doi.org/10.1016/j.cemconcomp.2013.05.002.   DOI
32 John, J., Maya, T.M. and Meenabal, T. (2012), "Mathematical modeling for durability characteristics of fly ash concrete", Int. J. Eng. Sci. Technol., 4(1), 353-361
33 Kheder, G.F., Al Gabban, A.M. and Abid, S.M. (2003), "Mathematical model for the prediction of cement compressive strength at the ages of 7 and 28 days within 24 hours", Mater. Struct., 36(10), 693-701. https://doi.org/10.1007/BF02479504.   DOI