Optimization techniques for mortars with self-compacting characteristics through Central Composite Design

• Autor(a) principal: Rocha, Stéphanie
• Data de Publicação: 2023
• Outros Autores: Maia, Lino
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.13/5534
• topic: Design of experiments; Response surface methodology; Optimization of materials; Construction materials; Binding materials; .; Faculdade de Ciências Exatas e da Engenharia

The high demand for concrete in civil construction promotes investment by researchers and builders to find methodologies that improve performance, costs and reduced environmental degradation. What justifies the large consumption of concrete is the possibility of improving its characteristics according to use. Self compacting concrete offers a mixture with high flowability, compaction and good mechanical properties. Statistics tools can be used for better optimization of mixtures, such as the Design of Experiments (DoE). Therefore, the objective of this research was to optimize an experimental dataset of high strength self-compacting mortars using the Response Surface Methodology (RSM) for a Central Composite Design (CCD). The results showed a strong correlation between the D-Flow and T funnel response factors, when compared with CS14h and CS28d models. The input variable w/c was the most significant. Numerical optimization showed good accuracy and compliance for low cost and environmental impact, maintaining high performance in fresh and hardened properties.