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Polymers
Volume 17
Issue 11
10.3390/polym17111583
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Experimentally and Modeling Assessment of Parameters Affecting Grinding Aid-Containing Cement–PCE Compatibility: CRA, MARS and AOMA-ANN Methods

by
Yahya Kaya
1,
Hasan Tahsin Öztürk
2,
Veysel Kobya
1,
Naz Mardani
3 and
Ali Mardani
1,*
1
Department of Civil Engineering, Bursa Uludag University, 16059 Bursa, Turkey
2
Department of Civil Engineering, Faculty of Technology, Karadeniz Technical University, 61080 Trabzon, Turkey
3
Department of Mathematics Education, Bursa Uludag University, 16059 Bursa, Turkey
*
Author to whom correspondence should be addressed.
Polymers 2025, 17(11), 1583; https://doi.org/10.3390/polym17111583
Submission received: 28 April 2025 / Revised: 29 May 2025 / Accepted: 2 June 2025 / Published: 5 June 2025
(This article belongs to the Special Issue Preparation, Structure and Characterization of Polymer/Cement Composites—3rd Edition)
Versions Notes

Abstract

In this study, the compatibility of polycarboxylate ether-based water-reducing admixtures (PCE) with cements produced with different types and dosages of grinding aids (GA) was experimentally and statistically investigated. A total of 203 paste mixtures were prepared using seven different types of GA and one type of PCE at different dosages. The Marsh funnel flow time and mini-slump values of the mixtures were compared. A modeling study was performed using the experimental data. In this direction, Classical Regression Analysis (CRA), Multivariate Adaptive Regression Splines (MARS), and Artificial Neural Networks (AOMA-ANN) were applied. Innovative approaches, AOMA-ANN (AIP) and AOMA-ANN (ONIP), were introduced. The results showed adverse effects on flow performance with increased GA utilization, except for TEA-based GA. TEA-type GA had the lowest flow performance. AOMA-ANN (ONIP) exhibited the best performance in modeling. Marsh funnel flow-time modeling with AOMA-ANN (ONIP) considered parameters such as sieve residue at 60 microns, the number of molecules per fineness, the density of GA, the pH value of GA, and the PCE dosage. Mini-slump modeling with AOMA-ANN (ONIP) considered parameters such as sieve residue at 60 microns, the density of GA, the pH value of GA, and the PCE dosage.
Keywords: Marsh funnel flow time; cement–water-reducing admixture compatibility; grinding aids; CRA; MARS; ANN; AOMA-ANN Marsh funnel flow time; cement–water-reducing admixture compatibility; grinding aids; CRA; MARS; ANN; AOMA-ANN

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MDPI and ACS Style

Kaya, Y.; Öztürk, H.T.; Kobya, V.; Mardani, N.; Mardani, A. Experimentally and Modeling Assessment of Parameters Affecting Grinding Aid-Containing Cement–PCE Compatibility: CRA, MARS and AOMA-ANN Methods. Polymers 2025, 17, 1583. https://doi.org/10.3390/polym17111583

AMA Style

Kaya Y, Öztürk HT, Kobya V, Mardani N, Mardani A. Experimentally and Modeling Assessment of Parameters Affecting Grinding Aid-Containing Cement–PCE Compatibility: CRA, MARS and AOMA-ANN Methods. Polymers. 2025; 17(11):1583. https://doi.org/10.3390/polym17111583

Chicago/Turabian Style

Kaya, Yahya, Hasan Tahsin Öztürk, Veysel Kobya, Naz Mardani, and Ali Mardani. 2025. "Experimentally and Modeling Assessment of Parameters Affecting Grinding Aid-Containing Cement–PCE Compatibility: CRA, MARS and AOMA-ANN Methods" Polymers 17, no. 11: 1583. https://doi.org/10.3390/polym17111583

APA Style

Kaya, Y., Öztürk, H. T., Kobya, V., Mardani, N., & Mardani, A. (2025). Experimentally and Modeling Assessment of Parameters Affecting Grinding Aid-Containing Cement–PCE Compatibility: CRA, MARS and AOMA-ANN Methods. Polymers, 17(11), 1583. https://doi.org/10.3390/polym17111583

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