Mechanical Properties of Ultra-High Performance Concrete (UHPC)

Ultra-high-performance concrete (UHPC) possesses mechanical characteristics that significantly outperform traditional concrete. However, replicating these properties consistently across different production batches—even when using the same recipe—remains a challenge. This dataset examines how variations in raw materials, environmental conditions, dosage variation, and both mixing and curing practices affect the mechanical properties of UHPC produced from a single reference formulation. Designed according to a three-phase design of experiments methodology, the dataset comprises 150 systematically planned experiments, offering a comprehensive view of the multiple factors influencing UHPC quality. Measurements of compressive and flexural strengths are provided at 24 hours and after 28 days post-mixing. Beside the mechanical properties, the dataset includes five characteristics of the fresh state, measured directly after each mixing process. All experiments are conducted in the laboratory of G.tec Engineering GmbH under controlled conditions, using the same mixer, same mixing tool, and the same team of technicians. The environment is maintained at a constant temperature of 20 °C throughout the experimental process. From each experiment, three specimens are cured under the designed conditions. First, the flexural strength is measured by carefully halving each of the three specimens. Then, the resulting six halves are used to measure the compressive strength. Finally, after a careful analysis of the results from each specimen, the averages for flexural and compressive strengths are reported. The dataset also includes outliers. After analysis by UHPC experts and the data science team, 11 data points (numbered 5, 17, 30, 36, 41, 47, 57, 99, 101, 128, and 148) were identified and removed as outliers to assure data quality. By offering a structured collection of high-dimensional data and a relatively small data size, this dataset is particularly suitable for advanced regression analyses, notably those addressing sparse data scenarios.

超高性能混凝土（Ultra-high-performance concrete, UHPC）的力学性能显著优于传统混凝土。然而，即便采用相同的配合比，在不同生产批次间稳定复现该类性能仍是一项挑战。本数据集旨在探究：当采用单一基准配合比制备超高性能混凝土时，原材料差异、环境条件变化、掺量波动以及拌合与养护工艺的不同，会对其力学性能产生何种影响。本数据集基于三阶段试验设计方法构建，共包含150项系统性规划的试验，可全面覆盖影响超高性能混凝土性能的各类因素。数据集提供了拌合后24小时及28天的抗压强度与抗折强度测试数据。除力学性能外，数据集还包含每次拌合完成后即刻测得的五项新拌状态特性指标。所有试验均在G.tec工程有限公司（G.tec Engineering GmbH）的实验室中于受控条件下开展，试验过程中使用同一台拌合机、同一套拌合工具，且由同一组技术人员操作。整个试验过程中，环境温度保持恒定为20℃。每项试验制备的3个试件均按照预设条件进行养护。首先，对3个试件分别进行抗折强度测试，测试后将每个试件小心对半切开，得到6个半试件；随后利用这6个半试件开展抗压强度测试。最后，在对每个试件的测试结果进行严谨分析后，以抗折强度与抗压强度的平均值作为最终测试结果。本数据集同时包含异常值。经超高性能混凝土领域专家与数据科学团队联合分析后，共识别并剔除了11个异常数据点（编号分别为5、17、30、36、41、47、57、99、101、128及148），以保障数据质量。本数据集以结构化形式收录高维度数据且规模相对较小，尤其适用于面向稀疏数据场景的高级回归分析任务。

搜集汇总

背景与挑战

背景概述

该数据集研究了超高性能混凝土（UHPC）的机械性能，通过150次系统实验分析了原材料、环境条件和生产工艺对UHPC性能的影响。数据集包含压缩和弯曲强度测量，适合用于高级回归分析，特别是稀疏数据场景。