3D打印
耐久性
参数统计
计算机科学
机械工程
建筑工程
制造工程
工程类
数学
数据库
统计
作者
Vuong Nguyen‐Van,Shuai Li,Junli Liu,Kien Nguyen,Phuong T. Tran
标识
DOI:10.1016/j.addma.2022.103333
摘要
3D concrete printing (3DCP) offers solutions for affordable construction including cost minimisation, productivity improvement, and sustainability alignment, as well as being able to tailor products with complex design requirements. Various 3DCP techniques, printable materials, and computational design tools have been developed to meet the requirements of mechanical and structural properties as well as durability. Coupled with parametric design and numerical simulation approach, the 3DCP could enable further construction optimisation, and realisation of complex designs. While major effort is devoted to developing materials and mix designs, limited attention is given to the development of predictive modelling and design optimisation specifically for 3D printing of concrete/mortar from the fresh to the hardening states. The benefit of additive manufacturing in construction is often recognised by the building of highly complex structures obtained from the generative design or structural optimisation processes. Here, various constraints need to be considered, such as overhang angle, printing direction, anisotropic properties of concrete, and printing toolpath optimisation. Continuous improvement in non-deterministic/statistical or machine learning (ML) approach could also lead to the development of a future robust 3DCP simulation tool when data is scarce or limited. This work will provide a snapshot of the current state-of-the-art development of modelling and design optimisation tools for 3D concrete printing.
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