Optimizing the Pavement Quality Concrete Mixes (PQC) using Combined Graphical Approach

Hossein Khazaei*, P. Sravana**
*-** Department of Civil Engineering, Jawaharlal Nehru Technological University College of Engineering, Hyderabad, Telangana, India.
Periodicity:September - November'2020
DOI : https://doi.org/10.26634/jce.10.4.17477

Abstract

Optimization of concrete mixing design is one of the important concerns of researchers in this filed. So far, various methods have been developed to optimize and predict the effect of aggregate characteristics and enhance the properties of concrete mixtures. Many efforts have been made to optimize the concrete mix. But it cannot be claimed that such a technique has been proposed so far. Each proposed method and model have its own advantages and limitations. This can lead to time, a large amount of design testing (EOD), the magnitude of approximate errors, the invalidity of areas outside the scope of the factors under review, and ultimately cost-effectiveness. The strength and durability of concrete in many cases be subject to on variables such as mix ratio, aggregates properties and characteristics, coarse and fine aggregate ratio, compaction method, curing period, gradation, packaging density, and wherein effect the strength and durability of fresh and hardened concrete. Combined Graphical Method (CGM) is a combination of traditional and modern concrete optimization methods which has a special emphasis on the properties and characteristics of the aggregates. This method is intended for concrete pavement mix to determine the C / F ratio consisting of coarse aggregates of 10, 20 and 38 mm and fine aggregates including river sand and mine.

Keywords

Combined Graphical Method, Optimization technique, Combined Aggregates Conformation, Maximum Density Method, Coarseness Factor of Aggregates, Retained Percentage Factor, Packing Density.

How to Cite this Article?

Khazaei, H., and Sravana, P. (2020). Optimizing the Pavement Quality Concrete Mixes (PQC) using Combined Graphical Approach. i-manager's Journal on Civil Engineering, 10(4), 34-45. https://doi.org/10.26634/jce.10.4.17477

References

[1]. Akkurt, S., Tayfur, G., & Can, S. (2004). Fuzzy logic model for the prediction of cement compressive strength. Cement and Concrete Research, 34(8), 1429-1433. https://doi.org/10.1016/j.cemconres.2004.01.020
[2]. Antunes, R., & Tia, M. (2018). Effects of aggregate packing on concrete strength and consistency. Advances in Civil Engineering Materials, 7(1), 479-495. https://doi.org /10.1520/acem20180030
[3]. Bureau of Indian Standard. (2004). Indian standard for methods of tests for strength of concrete (IS 516:2004). New Delhi, India: Bureau of Indian Standards.
[4]. Bureau of Indian Standard. (2008). Indian standards for concrete slump test apparatus (IS 7320:2008). New Delhi, India: Bureau of Indian Standards.
[5]. Bureau of Indian Standard. (2016). Methods of test for aggregates for concrete specific gravity, density, voids, absorption and bulking (IS 2386(Part III):2016). New Delhi, India: Bureau of Indian Standards.
[6]. Cox, D. C., & Baybutt, P. (1981). Methods for uncertainty analysis: A comparative survey. Risk Analysis, 1(4), 251-258. https://doi.org/10.1111/j.1539-6924.1981.tb01425.x
[7]. Ghoddousi, P., Abbasi, A. M., Shahrokhinasab, E., & Abedin, M. (2019). Prediction of plastic shrinkage cracking of self-compacting concrete. Advances in Civil Engineering. https://doi.org/10.1155/2019/1296248
[8]. Hasan, T., Ali, S., & Ahmed, M. (2018). Shrinkage simplex-centroid designs for a quadratic mixture model. Journal of Industrial Engineering International, 14(1), 87-93. https://doi.org/10.1007/s40092-017-0210-1
[9]. Indian Road Congress. (2017). Guidelines for cement concrete mix design for pavements (IRC 44:2017). New Delhi, India: Indian Road Congress.
[10]. Kathleen, J. R., Carley, M., Kamneva, N. Y. (2004). Response surface methodology. CASOS Technical Report. Retrieved from http://www.casos.cs.cmu.edu
[11]. Li, Z. (2011). Advanced concrete technology (1 ed.). New Jersey: John Wiley & Son.
[12]. Mamirov, M. (2019). Using theoretical and experimental particle packing for aggregate gradation optimization to reduce cement content in pavement concrete mixtures [Student Thesis]. University of Nebraska- Lincoln, Nebraska.
[13]. Mangulkar, M. N., & Jamkar, S. S. (2013). Review of particle packing theories used for concrete mix proportioning. International Journal of Scientific and Engineering Research, 4(5), 143–148.
[14]. Mohammed, G. A., & Al-Mashhadi, S. A. A. (2020). Effect of maximum aggregate size on the strength of normal and high strength concrete. Civil Engineering Journal, 6(6), 1155-1165. https://doi.org/10.5373/JARDCS/ V12I4/20201417
[15]. Mullen, K., & Hultquist, R. A. (1970). Introduction to statistics. Biometrics, 26(3). https://doi.org/10.2307/2529118
[16]. Obla, K. H., & Lobo, C. L. (2015). Prescriptive specifications. Concrete International, 37(8), 29-31.
[17]. Quiroga, P. N. (2003). The effect of the aggregates characteristics on the performance of Portland cement concrete (Doctoral dissertation). University of Texas, Austin.
[18]. Raj, N., Patil, S. G., & Bhattacharjee, B. (2014). Concrete mix design by packing density method. IOSR Journal of Mechanical and Civil Engineering, 11(2), 34-46. https://doi.org/10.9790/1684-11213446
[19]. Richardson, D. N. (2005). Aggregate gradation optimization - Literature search [Report No. RDT 05–001]. Missouri Department of Transportation. Retrieved from https://library.modot.mo.gov/RDT/reports/Ri98035/RDT0 5001.pdf
[20]. Shetty, M. (2000). Concrete technology theory and practice branches. S. Chand. Retrieved from https://www. academia.edu/38871769/CONCRETE_TECHNOLOGY_THE ORY_AND_PRACTICE_Multicolour_Illustrative_Edi tion.
[21]. Simon, M. J. (1997). Concrete Mixture Optimization Using Statistical Methods: Final Report (Report No: FHWARD- 03-060). Retrieved from http://www.fhwa.dot.gov/publications/research/infrastructure/pavements/03060/03 060.pdf
[22]. Tayabji, S., Fick, G., & Taylor, P. (2012). Concrete pavement mixture design and analysis (MDA) guide specification for highway concrete pavements: Commentary (No. DTFH61-06-H-00011 Work Plan 25). Institute for Transportation, Iowa State University.
[23]. Wong, H. H., & Kwan, A. K. (2005, May). Packing density: A key concept for mix design of high performance concrete. In Proceedings of the Materials Science and Technology in Engineering Conference, HKIE Materials Division (pp. 1-15).
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