Blending Different Fineness Cements to Engineer the Properties of Cement-Based Materials

Published

May 3, 2010

Author(s)

Dale P. Bentz

Abstract

Concretes are designed to fulfill specific engineering requirements, most commonly exemplified by slump, unit weight, and compressive strength. One source of untapped potential for varying engineering properties of hardened concrete is the variation of the cement particle size distribution. In this study, the performance of cements prepared by blending a coarse ASTM C150 Type I/II and a fine Type III cement obtained from the same clinker in three different proportions is examined. Evaluated properties for pastes and mortars include isothermal and semi-adiabatic calorimetry, chemical shrinkage, setting times (Vicat needle), compressive strength, and autogenous deformation. Addition of a high range water reducer to the Type III cement and the two finest blends is investigated as a secondary variable. The properties of the blends are compared to those of the two pure starting materials using a law of mixtures. Some properties such as heat release (as assessed using isothermal calorimetry) and chemical shrinkage are predicted nearly perfectly by applying this simple law. Others such as peak temperature (as assessed using semi-adiabatic calorimetry) and compressive strength are adequately predicted for engineering purposes by application of the law. Finally, setting times and autogenous deformation, being dependent on both hydration rates and particle spacing, can not be predicted by the simple law of mixtures. It is concluded that a wide range of performance properties can be achieved by the blending of a fine and a coarse cement in controlled proportions.

Citation

Aci Materials Journal Journal

Volume

62

Issue

5

Pub Type

Journals

Download Paper

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Keywords

Blending, fineness, hydration, particle size distribution, strength.

Citation

Bentz, D. (2010), Blending Different Fineness Cements to Engineer the Properties of Cement-Based Materials, Aci Materials Journal Journal, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=900916 (Accessed July 26, 2024)