Alkali-Activated and Geopolymer Systems Through the Lens of Resource Efficiency
Abstract
1. Introduction
2. Materials and Methods
3. Principles of a Resource-Centric Perspective
3.1. Limitations of Purely Chemistry or Performance-Based Classifications
3.2. Circular Economy, Waste Valorization, and Regional Resource Contexts
3.3. Reframing Alkali-Activated Geopolymer Systems as Resource-Management Technologies
4. Precursor Resources
5. Resource Availability, Logistics, and Regionalization
6. Environmental and Circularity Assessment of Resource Pathways
7. Resource-Sensitive Performance and Adaptive Design Strategies
7.1. Mechanical Performance
7.1.1. Mechanical Performance by Precursor Class
7.1.2. Role of Blending on Mechanical Properties
7.1.3. Processability, Curing, and Application Modes
7.2. Resource-Sensitive Durability Issues
7.2.1. Carbonation Resistance
7.2.2. Alkali-Silica Reaction and Leaching
7.2.3. Chemical Resistance and Long-Term Stability
7.3. Processability and Applications
7.3.1. In Situ Versus Precast Applications
7.3.2. 3D Printing and Rheological Control
7.3.3. Repair Mortars and Curing Requirements
7.4. Strategic Blending and Hybrid Gel Approach
7.4.1. Strategic Blending and Hybrid Gel
7.4.2. Contaminant Encapsulation
7.4.3. Co-Precursors for Low-Alumina or Low-Reactivity Wastes
7.5. Pre-Treatment: Performance vs. Environmental Cost
7.5.1. Thermal Treatment
7.5.2. Chemical Treatment
7.5.3. Mechanical Grinding and Combined Activation Strategies
7.6. Adaptive Design Frameworks: AI and Machine Learning
7.6.1. Artificial Neural Networks and Predictive Models
7.6.2. Thermodynamic Modeling Tools
7.6.3. Multi-Objective Optimization and LCA Integration
7.6.4. Data Limitations and Intellectual Property Barriers
7.7. Standardization, Policy, and Market Framing Around Resources
8. Future Directions in Resource-Centric Alkali-Activated Geopolymer Research
- •
- Systematic mapping of resources (precursors): In order to solve the temporal mismatch caused by a decreasing supply of conventional materials such as coal fly ash and blast furnace slag, research has to give the highest priority to the systematic mapping of global and regional precursor inventories. Researchers can develop dynamic databases that monitor the availability and quality by region and season by mapping a variety of materials, including biomass ash, mining tailings, and volcanic rock [17,22,30].
- •
- •
- Digital tools and AI infrastructure: Artificial neural networks (ANNs) are identified as a main tool for modeling the complex nonlinear relationships in diverse waste materials. By simulating phase assemblages, thermodynamic modeling tools like GEMS and FactSage help maximize precursor reactivity and reduce the need for trial-and-error tests. ANNs and deep neural networks are examples of advanced models used to forecast a mix’s durability and mechanical qualities based on chemical inputs. In order to improve performance prediction, hybrid predictive platforms combine data-driven artificial intelligence with physics-based thermodynamic modeling. By integrating Building Information Modeling (BIM) with life cycle assessment (LCA) methods, sustainability and structural durability may be monitored in real time during a project’s life cycle [22,24,63].
- •
- Circular Economy Integration: Alkali-activated and geopolymer materials play an important role in advancing industrial symbiosis, enabling the transformation of waste from sectors such as glass manufacturing, energy production, and agriculture into valuable building materials. This role extends into broader frameworks of territorial metabolism and urban mining, where construction and demolition wastes are repurposed to create high-performance products. Such valorization processes can significantly reduce raw material consumption by up to 50%, while simultaneously mitigating waste generation and environmental impact [1,8,9,69].
9. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Precursor Category | Specific Material Examples | Availability and Supply Context | Performance and Durability Characteristics | Environmental Impact and LCA Findings | Processing and Strategic Trade-Offs | Reference |
|---|---|---|---|---|---|---|
| Industrial Byproducts | Coal fly ash (low/high Ca), ground granulated blast-furnace slag (GGBFS), red mud (bauxite residue), silica fume, ferro-nickel slag, marble dust. | Decreasing availability in regions transitioning from coal/blast furnaces; geographically concentrated slag production. | Mechanical Strength: 30–80 MPa; slag achieves 30% higher early strength than fly ash. Risks: carbonation and alkali-silica reaction (ASR). | Superior performance: 80–90% CO2 reduction; 60–70% energy reduction (up to 97% GWP reduction in specific cases). | Requires grinding and milling for particle-size optimization; high heterogeneity requires source-specific study. | [8,17,29,30,31,38,39,40,41,42] |
| Natural and Thermally Treated Resources | Metakaolin, calcined clays, natural pozzolans, volcanic tuffs, diatomite, volcanic rock/ash. | Abundant in clay-rich or volcanic regions; generally not a waste stream; higher cost ($550/ton vs. $100/ton for slag). | Mechanical Strength: 30–80 MPa; noted for high reactive alumina. Durability: high thermal stability (up to 1000 °C); lower ASR risk. | Mixed profile: 40–60% CO2 reduction; can occasionally exceed Portland cement GWP due to calcination energy. | Requires high-intensity thermal treatment (~700 °C) and grinding; sensitive to Al/P ratios. | [17,22,30,43] |
| Emerging and Challenging Wastes | Mine tailings, biomass ashes (rice husk ash, almond shell ash), dredged sediments, sewage sludge ash, CDW (recycled concrete/brick/glass). | Widely available globally but underutilized; highly variable by location and seasonal cycles. | Specialized performance: over 90% strength retention at 250 °C; often requires co-precursors (FA/MK) to form a stable framework. | High circularity: upgrades waste from a negative value (−100€/ton) to market value; 35–50% reduction in abiotic resource consumption. | Complex pre-treatment; potential leaching of hazardous/radioactive materials; requires ML-optimized mix designs. | [1,8,17,21,22,30,31,44,45,46,47,48,49] |
| Alkaline Activators | NaOH, KOH, sodium silicate (water glass). | Global supply bottleneck: Current supply only allows for replacing ~7% of Portland cement. | Critical for dissolution-polycondensation; concentrations must be adjusted to control reaction kinetics and rheology. | High impact: major contributors to the system’s total GWP and embodied energy; sodium silicate is the primary GWP source. | Research is shifting toward one-part “just-add-water” solid activators and waste-derived alkalis from biomass. | [6,9,10,12,13,14,15,16,17,18,21,22,23,24,41,42,47,50,51,52] |
| System Type | Primary Gel Phase | Chemistry and Precursors | Performance Characteristics |
|---|---|---|---|
| Low-calcium | N-A-S-H or K-A-S-H | Aluminosilicate framework (e.g., metakaolin, Class F fly ash). | Superior fire resistance, chemical stability, and durability in aggressive environments. |
| High-calcium | C-(A)-S-H or hybrid gels | Calcium-rich (e.g., Slag/GGBFS). | Accelerates early-age strength development; similar to Portland cement hydration products. |
| Blended systems | Hybrid N-A-S-H/C-A-S-H | Combinations of various precursors (e.g., fly ash + slag). | Allows for precise tuning of reaction kinetics, workability, and final property envelopes. |
| Activator Topic | Resource and Sustainability Implications |
|---|---|
| Environmental impact | Activators (especially sodium silicate/water glass) are the largest contributors to GWP and embodied energy in the life cycle of these materials. |
| Supply constraints | Global supply of sodium hydroxide is a major bottleneck; currently, only about 7% of Portland cement could be replaced by geopolymers due to limited activator supply. |
| One-part systems | Development of solid just-add-water activators is seen as essential for mainstream adoption, as it improves safety, logistics, and shelf life. |
| Alternative Concepts | Research is shifting toward waste-derived alkalis (e.g., from biomass ashes such as rice husk) and carbonate-based activators to reduce costs and carbon footprints. |
| Technology | Primary Role | Key Algorithms/Tools | Main Limitation |
|---|---|---|---|
| Artificial Neural Networks (ANN) | Property prediction (strength, durability) | MLP, LSTM, CNN, DNN, ANFIS | Small datasets (<200 points); needs transfer learning |
| Thermodynamic Modeling | Chemical Phase Simulation | GEMS, FactSage | Complex Input Requirements |
| Multi-Objective AI | LCA + durability optimization | GA, PSO, NSGA-II | IP conflicts with proprietary formulations |
| Feature | Ordinary Portland Cement (OPC) | Alkali-Activated/Geopolymer |
|---|---|---|
| Primary Standard | Harmonized Standards (hEN/ASTM): Broadly recognized and an industry standard. | Individual Assessments (ETA/EAD): Requires specific, often costly, case-by-case approval. |
| Basis of design | Prescriptive: Mandates specific ingredients (e.g., minimum clinker content). | Performance-Based: Relies on measurable outcomes (e.g., strength, durability). |
| Market Entry | Direct: Instant CE marking or ASTM compliance for established grades. | Delayed: Lengthy approval processes due to the lack of harmonized codes. |
| Waste Integration | Limited: Restricted to specific approved SCMs (e.g., specific fly ash classes). | High Potential: Can valorize diverse, non-standardized industrial waste streams. |
| Risk Liability | Outsourced: Compliance with prescriptive standards provides a legal defense. | Internalized: Liability is often managed through vertical integration and custom testing. |
| Sustainability Credit | Incremental: Focuses on modest clinker reduction. | Radical: Enables 80–90% $CO2 reduction and high waste diversion. |
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Asim, N.; Badiei, M.; Ghoreishi, K. Alkali-Activated and Geopolymer Systems Through the Lens of Resource Efficiency. Resources 2026, 15, 66. https://doi.org/10.3390/resources15050066
Asim N, Badiei M, Ghoreishi K. Alkali-Activated and Geopolymer Systems Through the Lens of Resource Efficiency. Resources. 2026; 15(5):66. https://doi.org/10.3390/resources15050066
Chicago/Turabian StyleAsim, Nilofar, Marzieh Badiei, and Khadijehbeigom Ghoreishi. 2026. "Alkali-Activated and Geopolymer Systems Through the Lens of Resource Efficiency" Resources 15, no. 5: 66. https://doi.org/10.3390/resources15050066
APA StyleAsim, N., Badiei, M., & Ghoreishi, K. (2026). Alkali-Activated and Geopolymer Systems Through the Lens of Resource Efficiency. Resources, 15(5), 66. https://doi.org/10.3390/resources15050066

