Maia Lino
CONSTRUCT-LABEST, Faculty of Engineering (FEUP), University of Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal.
Faculty of Exact Sciences and Engineering, University of Madeira, Campus da Penteada, Funchal 9020-105, Portugal.
Data Brief. 2021 Nov 12;39:107563. doi: 10.1016/j.dib.2021.107563. eCollection 2021 Dec.
The concrete workability and the compressive strength are the principal properties of the fresh and hardened concrete, respectively. When self-compacting properties are required, scientific knowledge is important and appropriate models applied to achieve optimized compositions. Here, experimental data regarding to the mortars is presented. The dataset regards to a design of experiments carried out in mortars with commercial materials through a central composite design with five independent variables: Water/Cement, Superplasticyzer/Powder, Water/Powder, Sand/Mortar, FineSand/Sand. In total 64 mortar composition were done: 2 factorial design consisting on 32 treatment combinations augmented by 10 axial runs plus 8 central runs, resulting in a central composite design with 50 mortar trial mix composition. Beside 14 extra mixes were done to allow comparing and validating results for the response models to be applied. Four dependent variables were measured: the D-flow and the t-funnel to measure the workability and the tensile strength and the compressive at the age of 24 h to assess the mechanical properties. Since the experiments were run based in a central composite design and extra mixes were prepared, response models can be applied to the dataset in order to find optimized mix compositions.
混凝土的工作性和抗压强度分别是新拌混凝土和硬化混凝土的主要性能。当需要自密实性能时，科学知识很重要，且需应用合适的模型来实现优化的配合比。在此，给出了关于砂浆的实验数据。该数据集涉及通过中心复合设计对使用商业材料的砂浆进行的实验设计，有五个自变量：水灰比、高效减水剂/粉料、水/粉料、砂/砂浆、细砂/砂。总共进行了64种砂浆配合比：二水平析因设计包括32个处理组合，再加上10个轴向试验点和8个中心试验点，从而形成一个包含50种砂浆试拌配合比的中心复合设计。此外，还进行了14种额外的配合比，以便对要应用的响应模型的结果进行比较和验证。测量了四个因变量：用于测量工作性的D值流动度和t型漏斗流出时间，以及用于评估力学性能的24小时龄期的抗拉强度和抗压强度。由于实验是基于中心复合设计进行的，且制备了额外的配合比，因此可以将响应模型应用于该数据集以找到优化的配合比。
