Data-driven compressive strength analysis of nano/micro cellulose-modified cement composites for sustainable design
Abstract
• Machine learning framework for sustainable cellulose-cement composites is proposed • Strength predictive model for cellulose composites is developed by X-SVR algorithm • Comprehensive database is established for cellulose-modified cement systems • Quantitative analysis reveals key input variable contributions • Cellulose-fly ash synergy enhances compressive strength development Recent advances in concrete technology have identified cellulose as a promising natural fibre for sustainable constructions due to its widespread availability and excellent mechanical properties. However, predicting the mechanical performance of cellulose-modified cement composites remains challenging due to mix design variety and complex interfacial interactions. This research develops a data-driven framework to address the challenges in numerically describing the effect of diverse mixtures and cellulose, to provide robust predictions of the compressive strength of cellulose-modified cement composites. To do so, a comprehensive database is constructed by combining literature data and experimental results. The Extended Support Vector Regression (X-SVR) learning algorithm is employed in correlating strength development with diverse input variants, from which the strength class of cement, water/binder ratio, cellulose dosage, particle size of cellulose, and curing age are identified as the key influential parameters. The study presents three key innovations: construction of the first comprehensive multi-scale database spanning nano to micro cellulose in both pure cement and fly ash-blended systems, first application of X-SVR algorithm to cellulose-cement composites, and introduction of a fly ash contribution factor enabling strength prediction across fly ash blended systems. Sensitivity analysis based on the verified X-SVR aided modelling reveals that water/binder ratio exhibits the highest contribution (32%), with curing age (28%) and cellulose particle size (27%) identified as the next most critical factors governing compressive strength in cellulose-modified pure cement blends. The extended model indicates that cellulose dosage accounts for 15% of the strength contribution by fly ash.
Fields of Study & Subjects
Innovative concrete reinforcement materials
Natural Fiber Reinforced Composites
Composite Material Mechanics
Publication details
- Journal / source
- Applied Mathematical Modelling
- Publisher
- Elsevier BV
- Volume
- 157
- Pages
- 116881–116881
- Publication date
- 3 March 2026
- Language
- EN