Application of an Improved Empirical Model for Rheology Prediction of Cement Pastes Modified with Filler from Manufactured Sand

IF 0.7 Q4 CONSTRUCTION & BUILDING TECHNOLOGY
E. L. Skare, Rolands Cepurītis, Ernst Mørtsell, S. Smeplass, J. Spangenberg, S. Jacobsen
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引用次数: 0

Abstract

Abstract There is a need for simple but precise prediction models for proportioning concrete with manufactured sand, for use in ready-mix concrete production. For the last two decades, the particle-matrix model has been used in Norway for proportioning and prediction of concrete flow based on the properties and proportions of two concrete phases: coarse particles and filler modified cement paste (matrix). This paper presents experimental testing of 117 cement pastes of which 107 contain filler, i.e. particles < 125 microns, from manufactured sand. Based on compositions and properties of ingoing materials in these mixes, an empirical equation is developed that predicts the rheological properties plastic viscosity, yield stress, flow resistance ratio and mini slump flow. Optimization by regression analysis provides a practical microproportioning equation that readily can be used as input in concrete proportioning with the particle-matrix model. The equation provides a coefficient of determination R2 = 0.98 for plastic viscosity, R2 = 0.95 for mini slump flow, R2 = 0.91 for flow resistance ratio and R2 = 0.80 for yield stress.
改进经验模型在砂填料改性水泥浆体流变预测中的应用
摘要在预拌混凝土生产中,需要一种简单而精确的预拌砂混凝土配合比预测模型。在过去的二十年中,颗粒-基质模型在挪威被用于混凝土流动的比例和预测,该模型基于两种混凝土阶段的特性和比例:粗颗粒和填料改性水泥浆(基质)。本文对117种水泥浆体进行了试验测试,其中107种水泥浆体含有填料,即小于125微米的砂颗粒。根据混合料的组成和特性,建立了预测混合料流变特性、塑性粘度、屈服应力、流阻比和微坍落度流动的经验方程。通过回归分析优化得到了一个实用的微配合比方程,可作为颗粒-基质模型混凝土配合比的输入。其中,塑性粘度决定系数R2 = 0.98,微坍落度决定系数R2 = 0.95,流阻比决定系数R2 = 0.91,屈服应力决定系数R2 = 0.80。
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来源期刊
Nordic Concrete Research
Nordic Concrete Research CONSTRUCTION & BUILDING TECHNOLOGY-
自引率
20.00%
发文量
8
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