Statistical mixture design for carbide residue activated blast furnace slag foamed lightweight concrete

Journal Article (2022)
Author(s)

Hongzhi Zhang (Shandong University)

Yanchen He (Shandong University)

Chuan Wang (Shandong Hi-speed Group)

Yanhua Guan (Shandong University)

Zhi Ge (Shandong University)

Renjuan Sun (Shandong University)

Yifeng Ling (Shandong University)

Branko Savija (TU Delft - Materials and Environment)

Research Group
Materials and Environment
Copyright
© 2022 Hongzhi Zhang, Yanchen He, Chuan Wang, Yanhua Guan, Zhi Ge, Renjuan Sun, Yifeng Ling, B. Šavija
DOI related publication
https://doi.org/10.1016/j.conbuildmat.2022.127840
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 Hongzhi Zhang, Yanchen He, Chuan Wang, Yanhua Guan, Zhi Ge, Renjuan Sun, Yifeng Ling, B. Šavija
Research Group
Materials and Environment
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
342
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Carbide residue activated blast furnace slag is a relatively new kind of eco-friendly construction materials. This work addresses the design of foamed lightweight concrete as road embankment material using such material. A statistical mixture design approach was adopted to assess the influence of each ingredient as well as the interaction between these on the spreadability and compressive strength and thus allowing mixture design. The fitted models were validated using analysis of variance, residual analysis and confirmed by the experiments. Afterwards, the proposed models were used to optimize the mixture. The mixture with the highest compressive strength and the maximum content of carbide residue that allows the mixture to meet the required properties were obtained, respectively.

Files

1_s2.0_S0950061822015136_main.... (pdf)
(pdf | 2.18 Mb)
- Embargo expired in 01-07-2023
License info not available