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Authors
Advisor(s)
Abstract(s)
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.
Description
Keywords
Design of experiments Response surface methodology Optimization of materials Construction materials Binding materials . Faculdade de Ciências Exatas e da Engenharia
Citation
Rocha, S. , & Maia, L. (2023). Optimization techniques for mortars with self-compacting characteristics through Central Composite Design. U. Porto Journal of Engineering, 9(4), 184-209.
Publisher
Universidade do Porto