Binder chemistry and its impact on geopolymer compaction: predicting compaction parameters
| dc.contributor.author | Fahee, TJ | |
| dc.contributor.author | Nihaaj, NMM | |
| dc.contributor.author | Ekanayake, LL | |
| dc.date.accessioned | 2026-03-31T05:58:58Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Soil stabilization enhances the engineering performance of weak soil [1], [2]. Chemical stabilization is a common method that incorporates additives to form strong interparticle bonds [2]. Traditional binders like ordinary Portland cement (OPC) and lime have been widely used for stabilization, but their production causes about 7% of global greenhouse gas emissions and 11% of energy intake [1], [2], [3]. Geopolymer, which is also referred to as alkali-activated binders (AAB), is a sustainable alternative to OPC in soil stabilization [1], [2], [4], [5]. Geopolymer involves the alkali activation of aluminosilicate precursors like fly ash (FA), rice husk ash (RHA), and ground granulated blast furnace slag (GGBS) [1], [2], [3]. The use of geopolymers enables a substantial reduction in process-related carbon emissions, approximately 60-80% compared to conventional OPC production [4]. Each precursor contains a unique combination of chemical compounds that strongly influences the geopolymerization reactions and the resulting material properties. Binder chemistry governs geopolymer performance through major oxides such as SiO₂, Al₂O₃, CaO, Na/Al, and Si/Al ratios, which influence geopolymerization and gel formation [1], [5]. Key geotechnical parameters like maximum dry density (MDD) and optimum moisture content (OMC) help to evaluate stabilization efficiency [1]. However, predicting these parameters from binder chemistry remains complex. Instead of relying on random trial-and-error to determine the optimal composition, it is essential to establish a systematic mechanism for formulating effective soil reinforcement. Therefore, this study aims to develop a standardized predictive model to estimate compliance with required mechanical properties, moving beyond inefficient trial-and-error methods [1], [2]. | |
| dc.identifier.conference | ERU Symposium - 2025 | |
| dc.identifier.department | Department of Civil Engineering | |
| dc.identifier.doi | https://doi.org/10.31705/ERU.2025.36 | |
| dc.identifier.email | tjfahee@gmail.com | |
| dc.identifier.email | nihajnoor@gmail.com | |
| dc.identifier.email | lesly@uom.lk | |
| dc.identifier.faculty | Engineering | |
| dc.identifier.issn | 3051-4894 | |
| dc.identifier.pgnos | pp. 76-77 | |
| dc.identifier.place | Moratuwa | |
| dc.identifier.proceeding | Proceedings of the ERU Symposium 2025 | |
| dc.identifier.uri | https://dl.lib.uom.lk/handle/123/25095 | |
| dc.language.iso | en | |
| dc.publisher | Engineering Research Unit | |
| dc.subject | GEOPOLYMER | |
| dc.subject | SOIL STABILIZATION | |
| dc.subject | MACHINE LEARNING | |
| dc.subject | BINDER CHEMISTRY | |
| dc.subject | COMPACTION | |
| dc.title | Binder chemistry and its impact on geopolymer compaction: predicting compaction parameters | |
| dc.type | Conference-Extended-Abstract |
