Cangussu, NaraMatos, Ana MafaldaMaia, Lino2024-02-012024-02-012022Cangussu, N., Matos, A. M., & Maia, L. (2022). Numerical modeling and optimization of self-compacting mortars: central composite design approach with. In International Conference on Mathematical Analysis and Applications in Science and Engineering ICMA2SC'22-Book of Extended Abstracts.http://hdl.handle.net/10400.13/5514The current work developed Statistical models to reach high-performance self compacting cement-based mortars for structural purposes. A central composite design approach was employed to describe mortar fresh and hardened properties (mechanical strength) in function of key mortar mixture design parameters. The fitted models allow to model and predict flowability and viscosity properties and find a range where self-compacting behavior existed. Sand to mortar volume ratio exhibited the main effect on flowability and viscosity, with a positive effect, which is explained by decreases in paste volume. As expected, the water to cement volume ratio had the highest effect on both flexure and mechanical strength of mortars.engDesign of experimentsResponse model.Faculdade de Ciências Exatas e da Engenhariaconference object