A Computational Model for Estimating the Compressive Strength of Mortars Admixed with Mineral Materials

Document Type : Original Article

Authors

Faculty of Civil Engineering, Semnan University, Semnan, Iran

Abstract

In this paper, a new computational model is presented to estimate the compressive strength of mortars admixed with Microsilica and a mineral material namely Wollastonite. For this purpose, an equation with fourteen unknown parameters was considered based on a large experimental data, which were published in the literature. The model used five independent parameters including the amounts of the Microsilica, cement, Wollastonite, water and also the age of the specimens (day). For calculating the unknown parameters, the author used artificial neural network method and divided the experimental database into three parts for three phases of the train, validate and test to tune the coefficients of the considered equation. After determining the coefficients, the final equation was validated and tested to estimate the compressive strength of the considered mortars. The results indicated that the proposed equation of this research could be able to determine the compressive strength of mortars admixed with Wollastonite.

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References

[1]     Y. S. Cho and F.-B. Lin, "Nondestructive evaluation of in-place cement mortar compressive strength using spectral analysis of surface waves," Construction and Building Materials, vol. 19, no. 10, pp. 738-745, 2005. https://doi.org/10.1016/j.conbuildmat.2005.06.003
[2]     T. Voigt, Z. Sun, and S. P. Shah, "Comparison of ultrasonic wave reflection method and maturity method in evaluating early-age compressive strength of mortar," Cement and Concrete Composites, vol. 28, no. 4, pp. 307-316, 2006. https://doi.org/10.1016/j.cemconcomp.2006.02.003
[3]     S. Kwon, M. Feng, T. Park, J. Glassman, and U. Na, "An experimental evaluation of compressive strength in cement mortar using electromagnetic characterization," in ASCE, International Committee, Los Angeles Section, 5th International Engineering and Construction, Conference (IECC’5), 2008, pp. 433-441.
[4]     A. Nazari and J. G. Sanjayan, "Modelling of compressive strength of geopolymer paste, mortar and concrete by optimized support vector machine," Ceramics International, vol. 41, pp. 12164-12177, 2015.
[5]     H. Naderpour and M. Mirrashid, "An innovative approach for compressive strength estimation of mortars having calcium inosilicate minerals," Journal of Building Engineering, vol. 19, pp. 205-215, 2018. https://doi.org/10.1016/j.jobe.2018.05.012
[6]     H. Naderpour and M. Mirrashid, "Compressive strength of mortars admixed with wollastonite and microsilica," Materials Science Forum, vol. 890, pp. 415-418, 2017. https://doi.org/10.4028/www.scientific.net/MSF.890.415
[7]     H. Naderpour and M. Mirrashid, "Application of Soft Computing to Reinforced Concrete Beams Strengthened with Fibre Reinforced Polymers: A State-of-the-Art Review," in Computational techniques for civil and structural engineering, vol. 38: Saxe-Coburg Publications, Stirlingshire, UK, 2015, pp. 305-323.
[8]     M. Mirrashid, "Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength," Soft Computing in Civil Engineering, vol. 1, no. 1, pp. 12-28, 2017. https://doi.org/10.22115/SCCE.2017.46318
[9]     G. Ransinchung RN and B. Kumar, "Investigations on pastes and mortars of ordinary portland cement admixed with wollastonite and microsilica," Journal of materials in civil engineering, vol. 22, no. 4, pp. 305-313, 2009. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000019
Computational Engineering and Physical Modeling
Volume 1, Issue 4 - Serial Number 4
October 2018
Pages 16-24

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History

  • Receive Date: 15 June 2018
  • Revise Date: 27 September 2018
  • Accept Date: 18 February 2019

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