Red Mud as a Supplementary Cementitious Material for Low-Carbon Buildings: Interfacial Bonding, Structural Strength, and Environmental Benefits
低炭素建築物のためのレッドマッドの補助セメント材料としての利用:界面結合、構造強度、環境便益 (AI 翻訳)
Huazhe Jiao, Yongze Yang, Yixuan Yang, Tao Rong, Mingqing Huang, Yuan Fang, Zhenlong Li, Zhe Wang, Yu Zheng, Xu Chang
🤖 gxceed AI 要約
日本語
本レビューは、レッドマッド(RM)をセメント代替材料として利用するための理論的・実践的基盤を提供する。CO2鉱化による前処理、界面結合メカニズム、アルカリ活性化経路を整理し、重金属固定化(>95%)とGWP削減(50-80%)を実証。将来のML最適化と3Dプリンティングへの展望も示す。
English
This review provides a theoretical and practical foundation for using red mud (RM) as a supplementary cementitious material. It clarifies CO2 mineralization pretreatment, interfacial bonding mechanisms, and alkali-activation pathways, demonstrating heavy metal immobilization (>95%) and GWP reduction (50-80%). Future ML optimization and 3D printing prospects are also outlined.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の建設業界はカーボンニュートラル達成に向け、セメント代替材料の開発が急務。本レビューは、国内のアルミ精製副産物であるRMの有効活用と、CO2鉱化による炭素固定の可能性を示し、建設分野のGX推進に資する。
In the global GX context
This review contributes to global efforts to decarbonize the construction sector, aligning with ISSB/CSRD disclosure trends by quantifying GWP reductions and environmental benefits. It offers a roadmap for upcycling industrial waste into low-carbon building materials, relevant for transition finance and green building standards.
👥 読者別の含意
🔬研究者:Provides a comprehensive mechanistic understanding of RM-based cementitious materials, bridging atomic-level bonding to macro performance.
🏢実務担当者:Offers actionable insights for incorporating RM into concrete mixes, with quantified environmental and durability benefits.
🏛政策担当者:Highlights the potential of RM as a low-carbon construction material, supporting circular economy and decarbonization policies.
📄 Abstract(原文)
The global construction industry urgently requires sustainable alternatives to ordinary Portland cement (OPC) to mitigate its immense carbon footprint. Red mud (RM), a highly alkaline bauxite residue, presents tremendous but challenging potential as a supplementary cementitious material. This review systematically bridges the gap between atomic-level interfacial bonding mechanisms and macroscopic engineering performance, highlighting how these properties are significantly dictated by specific RM sources (e.g., Bayer vs. Sintering processes). We first elucidate advanced pretreatment strategies, notably CO2 mineralization, which synergistically mitigates extreme alkalinity and sequesters carbon. Crucially, the fundamental bonding mechanisms are decoded: beyond physical filling, RM integration induces significant micro-morphological densification via intense aluminosilicate depolymerization—evidenced by the Al[VI] to Al[IV] coordination shift—and the quantitative integration of approximately 40% reactive iron phases into stable Fe-S-H networks. By clearly distinguishing between traditional hydration and clinker-free alkali-activation pathways, we evaluate holistic structural parameters beyond mere 28-day compressive strength (40–67 MPa), explicitly addressing flexural capacity, modulus of elasticity, and volume stability. Environmental assessments confirm exceptional heavy metal immobilization (>95% efficiency, leaching < 0.010 mg/L) and a substantial 50–80% reduction in Global Warming Potential (GWP), provided the environmental burden of alkaline activators is rigorously accounted for. Furthermore, the long-term risk of Alkali–Silica Reaction (ASR) is evaluated as a primary durability concern. Finally, to overcome persistent rheological bottlenecks, this paper highlights transformative future trajectories, particularly data-driven Machine Learning (ML) for complex mix optimization and 3D concrete printing for advanced infrastructure. Ultimately, this review provides a robust theoretical foundation and a pragmatic roadmap for upcycling RM into safe, high-performance, and ultra-low-carbon building materials.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16091717first seen 2026-05-17 06:05:19 · last seen 2026-05-27 04:47:59
- semanticscholar https://www.mdpi.com/2075-5309/16/9/1717/pdf?version=1777284245first seen 2026-06-29 06:49:09 · last seen 2026-08-02 06:26:04
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