TY - JOUR
T1 - Intelligent design and manufacturing of ultra-high performance concrete (UHPC) – A review
AU - Fan, Dingqiang
AU - Zhu, Jinyun
AU - Fan, Mengxin
AU - Lu, Jian Xin
AU - Chu, S. H.
AU - Dong, Enlai
AU - Yu, Rui
N1 - Funding Information:
The authors acknowledge the financial support of National Natural Science Foundation of China under Grant 52178249 and U2006224 , Guangdong Basic and Applied Basic Research Foundation ( 2022A1515011364 ), and Major science and technology project in Zhongshan city, Guangdong province ( 2019AG030 ). The authors also appreciate the support of Hong Kong Green Technology Fund ( GTF202110180 ).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/7/3
Y1 - 2023/7/3
N2 - The quick rise of intelligent technologies promotes the development of the construction industry into a new phase. As an advanced cement-based materials, ultra-high performance concrete (UHPC) breaks the performance upper limit of traditional concrete materials, which has also been empowered by intelligent techniques. Hence, this work comprehensively reviews the progress on the intelligent design and manufacturing of UHPC materials. The review mainly includes various design methods and performance characteristics of 3D printed UHPC (3DP-UHPC). The results reveal that currently, the particle packing methods, especially compressible packing model (CPM) and modified Andreasen and Andersen (MAA) model, are domain in designing UHPC materials. Meanwhile, the intelligent design methods, referring to optimal design by computer technology, are also increasingly used due to their high efficiency and accuracy in property predicting. Notably, recently, a new design concept was proposed by the joint use of particle packing models and machine learning techniques. On the other hand, the intelligent manufacturing of UHPC mainly refers to3DP-UHPC. Here, the rheology (especially thixotropy) and printability (pumpability, extrudability and buildability) are crucial for the manufacturing of 3DP-UHPC. Adding steel fibers can enhance the matrix strength, but also will increase the anisotropy of 3DP-UHPC by regulating fiber orientation. Overall, the intelligent development of UHPC is a significant direction for the construction industry, attracting increasing interest and attention. The outcomes of this study emphasize the advantages and significance of using intelligent techniques to design and manufacture UHPC materials, which holds great references and support for future construction projects.
AB - The quick rise of intelligent technologies promotes the development of the construction industry into a new phase. As an advanced cement-based materials, ultra-high performance concrete (UHPC) breaks the performance upper limit of traditional concrete materials, which has also been empowered by intelligent techniques. Hence, this work comprehensively reviews the progress on the intelligent design and manufacturing of UHPC materials. The review mainly includes various design methods and performance characteristics of 3D printed UHPC (3DP-UHPC). The results reveal that currently, the particle packing methods, especially compressible packing model (CPM) and modified Andreasen and Andersen (MAA) model, are domain in designing UHPC materials. Meanwhile, the intelligent design methods, referring to optimal design by computer technology, are also increasingly used due to their high efficiency and accuracy in property predicting. Notably, recently, a new design concept was proposed by the joint use of particle packing models and machine learning techniques. On the other hand, the intelligent manufacturing of UHPC mainly refers to3DP-UHPC. Here, the rheology (especially thixotropy) and printability (pumpability, extrudability and buildability) are crucial for the manufacturing of 3DP-UHPC. Adding steel fibers can enhance the matrix strength, but also will increase the anisotropy of 3DP-UHPC by regulating fiber orientation. Overall, the intelligent development of UHPC is a significant direction for the construction industry, attracting increasing interest and attention. The outcomes of this study emphasize the advantages and significance of using intelligent techniques to design and manufacture UHPC materials, which holds great references and support for future construction projects.
KW - 3D printed UHPC
KW - Intelligent design
KW - Intelligent manufacturing
KW - Machine learning
KW - UHPC
UR - http://www.scopus.com/inward/record.url?scp=85153568108&partnerID=8YFLogxK
U2 - 10.1016/j.conbuildmat.2023.131495
DO - 10.1016/j.conbuildmat.2023.131495
M3 - Review article
AN - SCOPUS:85153568108
SN - 0950-0618
VL - 385
JO - Construction and Building Materials
JF - Construction and Building Materials
M1 - 131495
ER -