The key material properties of ultra-high-performance concrete (UHPC)

Four datasets were developed to predict the 28-day compressive strength, 28-day flexural strength, mini-slump spread, and 28-day porosity of Ultra-high-performance concrete (UHPC) for AI-guided auto-discovery of UHPC mixtures. The dataset has 1,228 experimental data covering 24 mix design variables of UHPC. The mix design variables can be grouped into four categories: Category 1: variables of the cementitious systems, Category 2: variables of the reinforcing fibers, and Category 3: size of the test specimens. For more information, please refer to the accompanying research article: Soroush Mahjoubi, Rojyar Barhemat, Weina Meng, Yi Bao, Resources, Conservation & Recycling 189C (2023) 106741.

本研究构建了四个数据集，用于预测超高性能混凝土（Ultra-high-performance concrete, UHPC）的28天抗压强度、28天抗折强度、微型坍落度扩展度以及28天孔隙率，以支撑AI辅助的UHPC配合比自动研发。该系列数据集共包含1228组实验数据，覆盖UHPC的24项配合比设计变量。上述配合比设计变量可分为四类：类别1：胶凝体系相关变量，类别2：增强纤维相关变量，类别3：试验试件尺寸相关变量。如需了解更多细节，请参阅配套研究论文：Soroush Mahjoubi、Rojyar Barhemat、Weina Meng、Yi Bao，《Resources, Conservation & Recycling》，第189C卷，2023年，论文编号106741。

搜集汇总

背景与挑战

背景概述

该数据集提供了超高性能混凝土（UHPC）的关键材料特性数据，包括抗压强度、抗弯强度、微坍落扩展度和孔隙率，覆盖24个混合设计变量，适用于AI引导的混合物自动发现研究。