The plastic viscosity (µ) of Self-Compacting Concrete (SCC) is a fundamental rheological property governing its flowability, passing ability, and segregation resistance. However, measuring µ typically requires specialised and costly rheometers or viscometers, which are not readily accessible in many developing countries. This limits the widespread evaluation and optimisation of SCC in resource-constrained settings. While some alternative methods to determine µ exist, they often depend on regression, iteration, or elemental modelling, and may lack comprehensiveness and general applicability. To address this gap, the present study explores the potential of the standardized EFNARC V-funnel test that is widely used for assessing SCC flow, as a practical and direct approach to estimate µ. A mathematical model was derived by analysing the laminar flow of SCC through the V-funnel, relating the V-funnel time (T) to µ and the unit weight of the mix. The model was validated through experimental testing on 44 diverse SCC mixes. A parameter coefficient of viscosity “C” was introduced, defined as the ratio of rheometer recorded plastic viscosity (µrh) to theoretically calculated SCC viscosity (µth). The results revealed values of C ranging from 0.80 to 1.80 with a mean value (Cm) of 1.43. The model-calculated values Cm.µth and rheometer-recorded values µrh exhibited a good agreement with R2, Kling Gupta Efficiency (KGE) and Mean Absolute Error (MAE) values of 0.9253, 0.4640 and 16.78 Pa.s, respectively. However, model reliability was further evaluated separately for the mix series incorporating different binder compositions. The local C values for each of these series were recorded as Cml. Using Cml instead of Cm improved the model performance. The Cml.µth and µrh exhibited better correlation with R2 and KGE values of 0.9728 and 0.5596, respectively, while showing a reduced MAE to 14.45 Pa.s, thus confirming model reliability. These results confirm that the proposed V-funnel-based approach, when calibrated with appropriate viscosity coefficients, provides a reliable and accessible method for estimating µ in SCC. Future work may focus on mapping Cm and Cml values for different SCC types and charting them to broaden the model’s applicability.

Calculating plastic viscosity of self-compacting concrete using V-funnel time: a novel mathematical approach with calibration using coefficient of viscosity

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2025年11月11日

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Tejinderpal Singh,
Ran Bir Singh,
Kanish Kapoor,
S. P. Singh

摘要

The plastic viscosity (µ) of Self-Compacting Concrete (SCC) is a fundamental rheological property governing its flowability, passing ability, and segregation resistance. However, measuring µ typically requires specialised and costly rheometers or viscometers, which are not readily accessible in many developing countries. This limits the widespread evaluation and optimisation of SCC in resource-constrained settings. While some alternative methods to determine µ exist, they often depend on regression, iteration, or elemental modelling, and may lack comprehensiveness and general applicability. To address this gap, the present study explores the potential of the standardized EFNARC V-funnel test that is widely used for assessing SCC flow, as a practical and direct approach to estimate µ. A mathematical model was derived by analysing the laminar flow of SCC through the V-funnel, relating the V-funnel time (T) to µ and the unit weight of the mix. The model was validated through experimental testing on 44 diverse SCC mixes. A parameter coefficient of viscosity “C” was introduced, defined as the ratio of rheometer recorded plastic viscosity (µ_rh) to theoretically calculated SCC viscosity (µ_th). The results revealed values of C ranging from 0.80 to 1.80 with a mean value (C_m) of 1.43. The model-calculated values C_m.µ_th and rheometer-recorded values µ_rh exhibited a good agreement with R², Kling Gupta Efficiency (KGE) and Mean Absolute Error (MAE) values of 0.9253, 0.4640 and 16.78 Pa.s, respectively. However, model reliability was further evaluated separately for the mix series incorporating different binder compositions. The local C values for each of these series were recorded as C_ml. Using C_ml instead of C_m improved the model performance. The C_ml.µ_th and µ_rh exhibited better correlation with R² and KGE values of 0.9728 and 0.5596, respectively, while showing a reduced MAE to 14.45 Pa.s, thus confirming model reliability. These results confirm that the proposed V-funnel-based approach, when calibrated with appropriate viscosity coefficients, provides a reliable and accessible method for estimating µ in SCC. Future work may focus on mapping C_m and C_ml values for different SCC types and charting them to broaden the model’s applicability.