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SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS

Year 2018, Volume: 19 Issue: 1, 95 - 103, 31.03.2018
https://doi.org/10.18038/aubtda.332714

Abstract

The 90 experimental data samples previously validated in the current literature regarding the compressive
strength of mortars have been collected and evaluated to develop the practical
soft-computing model which is presented in this study for prediction of the
compressive strength of mortars with blended cements. The presented model
provides many economical, technical and environmental benefits to be swiftly
implemented into the practice. It is formulated based on the soft-computing
techniques of genetic expression programming (GEP) by considering the model
factors including as specific weight and surface of cement, water/cement ratio,
testing age, the amounts of clinker, limestone, pozzolana and gypsum. Paper
explains the validity of the presented model with that randomly selected
experimental sub datasets available in the current literature. The findings illustrate
that the presented GEP model has a favorable potential for estimating the
compressive strength of mortars with blended cements.

References

  • [1] Neville AM. Properties of Concrete. Prentice Hall, London, England, 2000
  • [2] Taşkın C. Turkey cement raw material sources. Turkish Cement Manufacturers’ Association, Ankara, (In Turkish),1984.
  • [3] Mehta PK. Greening of the concrete industry for sustainable development. Concrete Int., 2002, 24(7); 23– 28,
  • [4] Malhotra VM, Mehta PK. High performance, high-volume fly ash concrete: materials, mixture proportioning, properties, construction practice, and case histories, Supplementary Cementing Materials for Sustainable Development, Ottawa, Canada, 2002
  • [5] Turanli L, Uzal B, Bektaş F. Effect of large amounts of natural pozzolan addition on properties of blended cements. Cement and Concrete Research, 2005, 35; 1106– 1111.
  • [6] Kenai S, Soboyejo W, Soboyejo A. Some engineering properties of limestone concrete. material and manufacturing processes, 2004,19(5); 949–61.
  • [7] Ghrici M, Kenai S, Said-Mansour M. Mechanical properties and durability of mortar and concrete containing natural pozzolana and limestone blended cements. Cement & Concrete Composites, 2007,29; 542–549.
  • [8] Camacho RER, Afif RU. Importance of using the natural pozzolans on concrete durability. Cement and Concrete Research, 2002,32; 1851-1858.
  • [9] Mehta PK. Studies on Blended Portland Cements Containing Santorin Earth. Cement Concrete Res, 1981,11(4); 507–518.
  • [10] Ramezanianpour AA. Engineering properties and morphology of pozzolanic cement concrete. PhD Thesis, University of Leeds, 1987.
  • [11] Massazza F. Pozzolanic cements. Cement Concrete Compos, 1993,15(4); 185–214.
  • [12] Kouloumbi N, Batis G, Pantasopoulou P. Efficiency of natural Greek pozzolan in chloride-induced corrosion of steel reinforcement. Cement Concrete Aggregates, 1995,17(1); 18–25.
  • [13] Rodriguez-Camacho RE. Using Natural Pozzolans to improve the sulfate resistance of cement mortars. In: Malhotra VM, editors. International conference, Bangkok, Thailand ACI SP-178; p. 1021–39, 1998
  • [14] Tagnit-Hamou A, Pertove N, Luke K. Properties of Concrete Containing Diatomaceous Earth. ACI Mater J., 2003,100(1); 73–78.
  • [15] Zadeh LA. Soft computing and fuzzy logic. IEEE Softw, 1994,11(6); 48–56.
  • [16] Koza JR. Genetic Programming: on the Programming of Computers by means of Natural Selection. MIT Press, 1992.
  • [17] Goldberg D. Genetic Algorithms in Search, Optimization and Machine Learning. MA:Addison-Wesley, 1989.
  • [18] Ferreira C. Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst., 2001,13(2); 87–129.
  • [19] Özbay E, Gesoğlu M, Güneyisi E. Empirical modeling of fresh and hardened properties of self-compacting concretes by genetic programming. Construct Build Mater. 2008,22; 1831–40.
  • [20] Güneyisi E, Gesoğlu M, Özturan T, Mermerdaş K, Özbay E. Properties of mortars with natural pozzolana and limestone-based blended cements. ACI Materials Journal, 2011,108(5); 493-500.
  • [21] Yang Y, Soh CK,. Automated optimum design of structures using genetic programming. Comput Struct., 2002,80; 1537–1546.
  • [22] Ashour AF, Alvarez LF, Toropov VV. Empirical Modeling of shear strength RC deep beams by genetic programming. Comput Struct., 2003,81; 331–338.
  • [23] Lim CH, Yoon YS, Kim JH. Genetic Algorithm in mix proportioning of high performance concrete. Cem. Concr. Res., 2004,34(3); 409–420.
  • [24] Chen L,. Study of applying macro evolutionary genetic programming to concrete strength estimation. J. Computing in Civil Engineering, 2003, 17(4); 290–294.
  • [25] Tosun K, Felekoğlu B, Baradan B, Altun İA. Portland Limestone Cement Part I-Preparation of Cements. Chamber of Civil Engineers, Technical Journal, 2009,4717-4736.
  • [26] Çelik Ö, Yurter G, Kan S, Yeprem, HA. The Effect of Different Puzzolanic Additives on Mechanical Properties of Cement Mortars. Doğuş University Journal, 2004,5(2), 147-154.
Year 2018, Volume: 19 Issue: 1, 95 - 103, 31.03.2018
https://doi.org/10.18038/aubtda.332714

Abstract

References

  • [1] Neville AM. Properties of Concrete. Prentice Hall, London, England, 2000
  • [2] Taşkın C. Turkey cement raw material sources. Turkish Cement Manufacturers’ Association, Ankara, (In Turkish),1984.
  • [3] Mehta PK. Greening of the concrete industry for sustainable development. Concrete Int., 2002, 24(7); 23– 28,
  • [4] Malhotra VM, Mehta PK. High performance, high-volume fly ash concrete: materials, mixture proportioning, properties, construction practice, and case histories, Supplementary Cementing Materials for Sustainable Development, Ottawa, Canada, 2002
  • [5] Turanli L, Uzal B, Bektaş F. Effect of large amounts of natural pozzolan addition on properties of blended cements. Cement and Concrete Research, 2005, 35; 1106– 1111.
  • [6] Kenai S, Soboyejo W, Soboyejo A. Some engineering properties of limestone concrete. material and manufacturing processes, 2004,19(5); 949–61.
  • [7] Ghrici M, Kenai S, Said-Mansour M. Mechanical properties and durability of mortar and concrete containing natural pozzolana and limestone blended cements. Cement & Concrete Composites, 2007,29; 542–549.
  • [8] Camacho RER, Afif RU. Importance of using the natural pozzolans on concrete durability. Cement and Concrete Research, 2002,32; 1851-1858.
  • [9] Mehta PK. Studies on Blended Portland Cements Containing Santorin Earth. Cement Concrete Res, 1981,11(4); 507–518.
  • [10] Ramezanianpour AA. Engineering properties and morphology of pozzolanic cement concrete. PhD Thesis, University of Leeds, 1987.
  • [11] Massazza F. Pozzolanic cements. Cement Concrete Compos, 1993,15(4); 185–214.
  • [12] Kouloumbi N, Batis G, Pantasopoulou P. Efficiency of natural Greek pozzolan in chloride-induced corrosion of steel reinforcement. Cement Concrete Aggregates, 1995,17(1); 18–25.
  • [13] Rodriguez-Camacho RE. Using Natural Pozzolans to improve the sulfate resistance of cement mortars. In: Malhotra VM, editors. International conference, Bangkok, Thailand ACI SP-178; p. 1021–39, 1998
  • [14] Tagnit-Hamou A, Pertove N, Luke K. Properties of Concrete Containing Diatomaceous Earth. ACI Mater J., 2003,100(1); 73–78.
  • [15] Zadeh LA. Soft computing and fuzzy logic. IEEE Softw, 1994,11(6); 48–56.
  • [16] Koza JR. Genetic Programming: on the Programming of Computers by means of Natural Selection. MIT Press, 1992.
  • [17] Goldberg D. Genetic Algorithms in Search, Optimization and Machine Learning. MA:Addison-Wesley, 1989.
  • [18] Ferreira C. Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst., 2001,13(2); 87–129.
  • [19] Özbay E, Gesoğlu M, Güneyisi E. Empirical modeling of fresh and hardened properties of self-compacting concretes by genetic programming. Construct Build Mater. 2008,22; 1831–40.
  • [20] Güneyisi E, Gesoğlu M, Özturan T, Mermerdaş K, Özbay E. Properties of mortars with natural pozzolana and limestone-based blended cements. ACI Materials Journal, 2011,108(5); 493-500.
  • [21] Yang Y, Soh CK,. Automated optimum design of structures using genetic programming. Comput Struct., 2002,80; 1537–1546.
  • [22] Ashour AF, Alvarez LF, Toropov VV. Empirical Modeling of shear strength RC deep beams by genetic programming. Comput Struct., 2003,81; 331–338.
  • [23] Lim CH, Yoon YS, Kim JH. Genetic Algorithm in mix proportioning of high performance concrete. Cem. Concr. Res., 2004,34(3); 409–420.
  • [24] Chen L,. Study of applying macro evolutionary genetic programming to concrete strength estimation. J. Computing in Civil Engineering, 2003, 17(4); 290–294.
  • [25] Tosun K, Felekoğlu B, Baradan B, Altun İA. Portland Limestone Cement Part I-Preparation of Cements. Chamber of Civil Engineers, Technical Journal, 2009,4717-4736.
  • [26] Çelik Ö, Yurter G, Kan S, Yeprem, HA. The Effect of Different Puzzolanic Additives on Mechanical Properties of Cement Mortars. Doğuş University Journal, 2004,5(2), 147-154.
There are 26 citations in total.

Details

Subjects Engineering
Journal Section Articles
Authors

Zeynep Alğın

Kasım Mermerdaş

Publication Date March 31, 2018
Published in Issue Year 2018 Volume: 19 Issue: 1

Cite

APA Alğın, Z., & Mermerdaş, K. (2018). SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 19(1), 95-103. https://doi.org/10.18038/aubtda.332714
AMA Alğın Z, Mermerdaş K. SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS. AUJST-A. March 2018;19(1):95-103. doi:10.18038/aubtda.332714
Chicago Alğın, Zeynep, and Kasım Mermerdaş. “SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 19, no. 1 (March 2018): 95-103. https://doi.org/10.18038/aubtda.332714.
EndNote Alğın Z, Mermerdaş K (March 1, 2018) SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 19 1 95–103.
IEEE Z. Alğın and K. Mermerdaş, “SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS”, AUJST-A, vol. 19, no. 1, pp. 95–103, 2018, doi: 10.18038/aubtda.332714.
ISNAD Alğın, Zeynep - Mermerdaş, Kasım. “SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 19/1 (March 2018), 95-103. https://doi.org/10.18038/aubtda.332714.
JAMA Alğın Z, Mermerdaş K. SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS. AUJST-A. 2018;19:95–103.
MLA Alğın, Zeynep and Kasım Mermerdaş. “SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 19, no. 1, 2018, pp. 95-103, doi:10.18038/aubtda.332714.
Vancouver Alğın Z, Mermerdaş K. SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS. AUJST-A. 2018;19(1):95-103.