The key material properties of ultra-high-performance concrete (UHPC)
The dataset was developed to predict the compressive strength, flexural strength, workability, and porosity of Ultra-high-performance concrete (UHPC) in order to expedite the design process of UHPC. The dataset has 1,228 experimental data covering 24 mix design variables of UHPC. The mix design variables can be grouped into four categories: (1) Category 1: variables of the cementitious systems, (2) Category 2: variables of the reinforcing fibers, (3) Category 3: curing time, and (4) Category 4: dimensions of the test specimens. For more information about the development of the datasets, please refer to the accompanying research article: Soroush Mahjoubi, Weina Meng, Yi Bao, Auto-tune learning framework for prediction of flowability, mechanical properties, and porosity of ultra-high-performance concrete (UHPC), Applied Soft Computing, 2021, 108182. https://doi.org/10.1016/j.asoc.2021.108182.