Transformation of Tricalcium Silicate Crystalline Forms in Steel Slag Under Cooling Processes and Mechanisms for Enhancing Hydration Activity

Abstract

As a metallurgical bulk solid waste, stockpiled steel slag risks land occupation, soil and groundwater pollution. Its low-activity T 1 -C 3 S (Ca 3 SiO 5 ) regulated to high-activity M 3 -C 3 S boosts hydration activity and reduces harmful releases via lattice solidification, meeting environmental and industrial needs.Aligned with green metallurgical processes, this study achieved T 1 -C 3 S-to-M 3 -C 3 S transformation in steel slag by optimizing cooling parameters (lowenergy physical cooling replacing chemical modification)-via pure-phase C 3 S preparation, characterization and cooling-induced crystal form research. Meanwhile, first-principles calculations explored C 3 S polymorphs' reactivity-electronic structure relationship.Results indicate: increased cooling rate attenuates the lattice amplitude of pure-phase C 3 S; water cooling at synthesis temperature achieves a relatively high T 1 -C 3 S mass fraction. For steel slag under specific water-cooling temperature, MgO solid solution effect effectively promotes T1-C 3 S→M 3 -C 3 S conversion to maximize M 3 -C 3 S content (without additional chemical reagents); rapid cooling accelerates steel slag particle cracking, significantly elevates pore parameters, and optimizes compatibility with construction material feedstock.This study optimizes cooling process to achieve T 1 -C 3 S-to-M 3 -C 3 S transformation in steel slag, mitigates solid waste secondary pollution, clarifies mechanisms, and supports steel slag high-value utilization & metallurgical green process upgrading.

Article information

Article type
Paper
Submitted
22 Sep 2025
Accepted
01 Jan 2026
First published
12 Jan 2026

Anal. Methods, 2026, Accepted Manuscript

Transformation of Tricalcium Silicate Crystalline Forms in Steel Slag Under Cooling Processes and Mechanisms for Enhancing Hydration Activity

X. Zhang, J. He, C. Gu, Y. Wang, J. Li, G. Li, S. Chao, X. Li, Z. Zhen, Y. Zhang and Y. Duan, Anal. Methods, 2026, Accepted Manuscript , DOI: 10.1039/D5AY01584G

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