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Updated: Oct 7, 2025
11:07
Preparation of Aligned Steel Fiber Reinforced Cementitious Composite and Its Flexural Behavior
Published on: June 27, 2018
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Experimental dataset from a central composite design with two qualitative independent variables to develop high
Lino Maia1,2
1CONSTRUCT-LABEST, Faculty of Engineering (FEUP), University of Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal.
Data in Brief
|January 10, 2022
Summary
This study presents an experimental dataset for optimizing cement-based mortar mix proportions. Response models can utilize this data to determine optimal compositions and understand the impact of superplasticiser type on material properties.
Area of Science:
- Civil Engineering
- Materials Science
- Chemical Engineering
Background:
- Fresh and hardened properties of cement-based materials are crucial for selecting constituent materials and mix proportions.
- Response models are commonly used with scientific data to optimize mortar compositions for specific applications.
Purpose of the Study:
- To present an experimental dataset for optimizing cement-based mortar mix proportions.
- To enable the application of response models for finding optimized mix compositions.
- To determine the effect of qualitative variables, specifically two types of superplasticisers, on mortar properties.
Main Methods:
- Utilized a central composite design with five independent variables (four quantitative, one qualitative).
- Investigated 60 mortar compositions, including a 2^4 factorial design with axial and central runs.
- Evaluated fresh properties using D-flow and t-funnel tests, and hardened properties via compressive strength at 24 hours and 28 days.
Main Results:
- An experimental dataset for cement-based mortars was generated.
- The dataset facilitates the application of response models for optimization.
- The influence of different superplasticiser types on mortar performance can be analyzed.
Conclusions:
- The presented dataset is valuable for optimizing cement-based mortar mix designs.
- Response models can be effectively applied to this data to achieve desired properties.
- The study provides a foundation for understanding superplasticiser effects on fresh and hardened mortar characteristics.
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