Performance-Based Testing of Portland Cement Concrete for Construction-Scale 3D Printing (2019-02)¶
10.1016/b978-0-12-815481-6.00002-6
, Yuan Xiao, Meier Ryan,
Contribution - 3D Concrete Printing Technology, pp. 13-35
Abstract
In this chapter, a framework for performance-based laboratory testing of Portland cement-based mixtures for construction-scale 3D printing is presented. In this framework, a “printing mixture” in fresh state is characterized in terms of print quality, shape stability, and printability window. Print quality is described using measures of surface quality and dimensions of printed layers. Details of two proposed test methods for evaluation of shape stability, namely layer settlement and cylinder stability, are also provided. By experimental studies of four different mixtures it is shown that inclusion of silica fume and nanoclay significantly enhances shape stability. The results of some conventional tests, as well as several proposed new test methods, are used to evaluate the performance of printing mixtures.
¶
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BibTeX
@inproceedings{kaze_yuan_meie_khos.2019.PBToPCCfCS3P,
author = "Ali Kazemian and Xiao Yuan and Ryan Meier and Behrokh Khoshnevis",
title = "Performance-Based Testing of Portland Cement Concrete for Construction-Scale 3D Printing",
doi = "10.1016/b978-0-12-815481-6.00002-6",
year = "2019",
pages = "13--35",
booktitle = "3D Concrete Printing Technology: Construction and Building Applications",
editor = "Jay Gnananandan Sanjayan and Ali Nazari and Behzad Nematollahi",
}
Formatted Citation
A. Kazemian, X. Yuan, R. Meier and B. Khoshnevis, “Performance-Based Testing of Portland Cement Concrete for Construction-Scale 3D Printing”, in 3D Concrete Printing Technology: Construction and Building Applications, 2019, pp. 13–35. doi: 10.1016/b978-0-12-815481-6.00002-6.
Kazemian, Ali, Xiao Yuan, Ryan Meier, and Behrokh Khoshnevis. “Performance-Based Testing of Portland Cement Concrete for Construction-Scale 3D Printing”. In 3D Concrete Printing Technology: Construction and Building Applications, edited by Jay Gnananandan Sanjayan, Ali Nazari, and Behzad Nematollahi, 13–35, 2019. https://doi.org/10.1016/b978-0-12-815481-6.00002-6.