Abstract
The architecture, engineering and construction (AEC) industry is constantly evolving to meet the demand for sustainable and effective design and construction of the built environment. In the literature, two primary deposition techniques for large-scale 3D concrete printing (3DCP) have been described, namely extrusion-based (Contour Crafting-CC) and shotcrete 3D printing (SC3DP) methods. The deposition methods use a digitally controlled nozzle to print material layer by layer. The continuous flow of concrete material used to create the printed structure is called a filament or layer. As these filaments are the essential structure defining the printed object, the filaments' geometry quality control is crucial. This paper presents an automated procedure for quality control (QC) of filaments in extrusion-based and SC3DP printing methods. The paper also describes a workflow that is independent of the sensor used for data acquisition, such as a camera, a structured light system (SLS) or a terrestrial laser scanner (TLS). This method can be used with materials in either the fresh or cured state. Thus, it can be used for online and post-printing QC.
Abstract (translated)
建筑、工程和施工（AEC）行业不断演变，以满足可持续且有效设计和建造建成环境的需求。在文献中，已描述了用于大规模3D混凝土打印（3DCP）的两种主要沉积技术：基于挤出的方法（轮廓工艺-CC）和喷射混凝土3D打印方法（SC3DP）。这些沉积方法使用数字控制的喷嘴逐层打印材料。用来创建打印结构的连续流动的混凝土材料被称为纤维或层次。由于这些纤维是定义打印物体的基本结构，因此确保纤维几何质量至关重要。本文介绍了一种用于基于挤出和SC3DP打印方法中纤维质量控制（QC）的自动化程序。此外，该论文还描述了一个与数据采集所用传感器类型无关的工作流程，例如相机、结构光系统（SLS）或地面激光扫描仪（TLS）。此方法可用于新鲜或固化的材料状态，因此可以用于在线和后打印的质量控制。
URL
https://arxiv.org/abs/2512.00091
