Numerical modeling and optimization of  self-compacting mortars: central composite design  approach with

Cangussu, Nara; Matos, Ana Mafalda; Maia, Lino

http://hdl.handle.net/10400.13/5514

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Authors

Cangussu, Nara

Matos, Ana Mafalda

Maia, Lino

Abstract(s)

The 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.

Keywords

Design of experiments Response model . Faculdade de Ciências Exatas e da Engenharia

URI

http://hdl.handle.net/10400.13/5514

Citation

Cangussu, 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.