Advances in concrete construction

  • 제6권6호
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  • Pages.659-677
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  • 2018
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  • 2287-5301(pISSN)
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  • 2287-531X(eISSN)
테크노프레스 (Techno-Press)
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Predicted of hydration heat and compressive strength of limestone cement mortar with different type of superplasticizer

  • Didouche, Zahia (Department of Civil Engineering, Hassiba Benbouali University) ;
  • Ezziane, Karim (Department of Civil Engineering, Hassiba Benbouali University) ;
  • Kadri, El-Hadj (Mechanical Laboratory and Materials of Civil Engineering, L2MGC, Cergy Pontoise University)
  • 투고 : 2018.01.28
  • 심사 : 2018.12.06
  • 발행 : 2018.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

The use of some superplasticizers in the production of mortar or concrete influences the hydration kinetic and the amount of total heat. This results in a modification of some properties, namely mortar workability, mechanical strength and durability. Three superplasticizers were used; a polynaphthalenesulfonate (PNS), a melamine resin (PMS) and a polycarboxylate (PC). They have been incorporated into various amount in a standardized mortar based on limestone cement. The aim of this study was to evaluate the rheological, mechanical and Calorimeters properties of this mortar. This will select the most compatible product and more able to be used depending on the climate of the country and the cement used. The PNS is incompatible with this type of cement registering a decrease of strength but the PMS and the PC modify the kinetics of hydration with significant heat generation and improved mechanical strength. The measured heat flow is significantly influenced by the type and dosage of superplasticizer especially for low dosage. Hydration heat and compressive strength of the different mixtures can be evaluated by determining their ultimate values and ages to reach these values where the correlation coefficients are very satisfactory.

키워드

참고문헌

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피인용 문헌

  1. Evaluation of mathematical models for prediction of slump, compressive strength and durability of concrete with limestone powder vol.10, pp.6, 2018, https://doi.org/10.12989/acc.2020.10.6.463
  2. A PSO-ANN Intelligent Hybrid Model to Predict the Compressive Strength of Limestone Fillers Roller Compacted Concrete (RCC) to Build Dams vol.25, pp.8, 2018, https://doi.org/10.1007/s12205-021-1531-6