论文标题
3D混凝土打印的模拟的FEM建模技术
FEM modelling techniques for simulation of 3D concrete printing
论文作者
论文摘要
近年来,三维混凝土印刷(3DCP)在广受欢迎。根据许多人的说法,3DCP将彻底改变建筑业:产生无与伦比的美学,更好的质量控制,较低的成本以及减少建筑时间。在本文中,提出了两种有限元方法(FEM)策略,用于模拟此类3D混凝土打印过程。这些模型的目的是预测印刷过程中的结构行为,而混凝土仍然是新鲜的,并估计最佳打印速度和最大悬垂角,以避免打印故障。两种FE分析都涉及求解多个静态隐式步骤,其中逐步添加有限元素的集合直到失败。两种方法之间的主要区别在于3D模型的离散化。第一种方法使用体素化来近似3D形状,而第二种方法则从定义工具路径开始,并通过沿路径扫地来构建有限元素。提出了一个案例研究,以评估两种策略的有效性。这两个模型彼此都很好,并且获得了可比的结构响应。还讨论了模型的局限性和未来挑战。最终,本文演示了基于FEM的模型如何有效地模拟复杂的印刷品,并可以就更好的打印策略提出建议。这些建议可能与最大打印速度和悬垂角有关,但也可能与最佳的层高度和厚度,填充图案的特定选择或通过扩展混合物设计有关。当避免打印故障时,这种方法可以节省时间,资源和整体成本。未来的工作将集中于这些数值模型的验证,并将其与实验数据进行比较。
Three-dimensional concrete printing (3DCP) has gained a lot of popularity in recent years. According to many, 3DCP is set to revolutionize the construction industry: yielding unparalleled aesthetics, better quality control, lower cost, and a reduction of the construction time. In this paper, two finite element method (FEM) strategies are presented for simulating such 3D concrete printing processes. The aim of these models is to predict the structural behaviour during printing, while the concrete is still fresh, and estimate the optimal print speed and maximum overhang angle to avoid print failures. Both FE analyses involve solving multiple static implicit steps where sets of finite elements are added stepwise until failure. The main difference between the two methods is in the discretization of the 3D model. The first method uses voxelization to approximate the 3D shape, while the second approach starts from defining the toolpath and constructs finite elements by sweeping them along the path. A case study is presented to evaluate the effectiveness of both strategies. Both models are in good agreement with each other, and a comparable structural response is obtained. The model's limitations and future challenges are also discussed. Ultimately, the paper demonstrates how FEM-based models can effectively simulate complex prints and could give recommendations with regards to a better print strategy. These suggestions can be related to the maximum printing speed and overhang angle, but also the optimal layer height and thickness, the specific choice of the infill pattern, or by extension the mixture design. When print failures can be avoided, this methodology could save time, resources and overall cost. Future work will focus on the validation of these numerical models and comparing them to experimental data.