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.

为开展AI引导的超高性能混凝土（Ultra-high-performance concrete, UHPC）配合比自动探索，本研究构建了4个数据集，用于分别预测超高性能混凝土的28天抗压强度、28天抗折强度、迷你坍落度扩展度以及28天孔隙率。该数据集包含1228条实验数据，覆盖24个UHPC配合比设计变量。配合比设计变量可分为四类：类别1为胶凝体系变量，类别2为增强纤维变量，类别3为试件尺寸变量。如需获取更多详细信息，请参阅配套研究论文：Soroush Mahjoubi, Rojyar Barhemat, Weina Meng, Yi Bao, 《资源、保护与回收》(Resources, Conservation & Recycling) 189C (2023) 106741。

搜集汇总

背景与挑战

背景概述

该数据集包含四个子集，旨在通过AI引导自动发现超高性能混凝土（UHPC）的配合比，预测其28天抗压强度、抗弯强度、小坍落度扩展和孔隙率。数据集涵盖1,228条实验数据，涉及24个混合设计变量，分为胶凝体系、增强纤维和试件尺寸三类，为UHPC材料性能研究提供全面支持。