UHPC Dataset for Strength Prediction and Eco-Efficiency

This dataset provides comprehensive information on 918 ultra-high-performance concrete (UHPC) mixtures, including detailed proportions of constituents and curing conditions. It includes 16 input variables, including calculated CO2 emissions, and 3 key performance outputs: compressive strength (fc), embodied carbon index (CI), and embodied energy index (EI). The dataset is derived from: 495 records from the open-access dataset by Marani et al. (2020) 423 curated records extracted from peer-reviewed literature (full references included in README) The dataset supports machine learning applications and interpretability analysis, promoting the optimization of UHPC for sustainability and performance.本数据集收录了918组超高性能混凝土（ultra-high-performance concrete, UHPC）配合比的全面信息，涵盖各组分的详细配比与养护条件。数据集共包含16项输入变量（其中包含计算得到的二氧化碳排放量），以及3项核心性能输出指标：抗压强度（compressive strength, fc）、隐含碳指数（embodied carbon index, CI）与隐含能指数（embodied energy index, EI）。 本数据集的数据来源包括： 1. 取自Marani等人（2020）发布的开源数据集的495条记录； 2. 从同行评议文献中提取并经人工整理的423条记录（完整参考文献详见README文件）。 本数据集可支持机器学习应用与可解释性分析，助力超高性能混凝土在可持续性与服役性能维度的优化设计。