低碳混凝土数字化建造技术与3D打印技术数据集

本数据集主要面向建筑数字化制造、低碳建材开发及智能建造技术研究与应用需求建设，基于工业废料资源化利用与先进增材制造技术研究所产生。其背景源于传统建筑行业高能耗、高排放的挑战，以及数字化建造模式在提升效率、减少材料浪费和降低碳排放方面的巨大潜力。该数据集的意义在于为开发低碳、高性能的3D打印混凝土材料与工艺提供关键数据支撑，推动建筑行业向智能化、绿色化转型。数据集资源来源于工业废弃物（如废玻璃粉）的回收加工和实验室制备的新型胶凝材料，通过系统实验和数值分析生成。产生方法涵盖材料流变性能测试、3D打印工艺参数优化、碳化养护实验及力学性能评估，采用先进设备如流变仪、3D打印机、热分析仪和电子万能试验机进行数据采集。数据集主要记录了废玻璃粉掺量对3D打印砂浆流变特性（如静态屈服应力、触变性）、可打印性（如可建造高度）、力学性能（抗压强度、各向异性）及干燥收缩的影响数据；碳化养护条件下3D打印砂浆的力学性能演化、层间结合强度及碳化深度分布数据；以及相关材料的微观结构表征（如SEM图像）和热分析结果。数据格式包括.xlsx、.docx、.jpg和.pdf，包含实验原始记录、分析图表及配套学术论文。数据集体量约为13MB，为核心研究提供了详实、可重复的实验数据基础，为优化低碳混凝土3D打印技术、降低建筑碳排放提供了重要科学依据。

This dataset was constructed to address the research and application demands of digital construction manufacturing, low-carbon building material development, and intelligent construction technology, and is generated based on industrial waste resource utilization and advanced additive manufacturing technologies. The dataset is developed against the backdrop of challenges including high energy consumption and greenhouse gas emissions in the traditional construction industry, as well as the immense potential of digital construction models to enhance efficiency, cut material waste, and reduce carbon emissions. The core value of this dataset is to provide critical data support for the development of low-carbon, high-performance 3D printed concrete materials and processes, and to accelerate the transformation of the construction industry toward intelligent and green development. The dataset resources originate from the recycling and processing of industrial wastes (e.g., waste glass powder) and laboratory-synthesized novel cementitious materials, and are generated via systematic experiments and numerical analyses. The data generation approaches cover material rheological property testing, 3D printing process parameter optimization, carbonation curing experiments, and mechanical performance evaluation, with data acquired using advanced instruments including rheometers, 3D printers, thermal analyzers, and electronic universal testing machines. The dataset primarily records data on the effects of waste glass powder dosage on the rheological properties (e.g., static yield stress, thixotropy), printability (e.g., buildable height), mechanical properties (compressive strength, anisotropy), and drying shrinkage of 3D printed mortar; data on the mechanical property evolution, interlayer bond strength, and carbonation depth distribution of 3D printed mortar under carbonation curing conditions; as well as microstructural characterization results (e.g., SEM images) and thermal analysis data of related materials. The dataset is available in formats including .xlsx, .docx, .jpg, and .pdf, and contains original experimental records, analytical charts, and supporting academic papers. The dataset has a total size of approximately 13 MB, providing a detailed and reproducible experimental data foundation for core research, and offering important scientific evidence for optimizing low-carbon concrete 3D printing technology and reducing building carbon emissions.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于低碳混凝土的数字化建造与3D打印技术，旨在通过工业废料（如废玻璃粉）的资源化利用，开发高性能、低排放的建筑材料。数据集包含流变性能、可打印性、力学性能及碳化养护等关键实验数据，为优化3D打印工艺和降低建筑碳排放提供科学依据，数据格式多样，体量约为13MB。