Print Email Facebook Twitter Statistical mixture design for carbide residue activated blast furnace slag foamed lightweight concrete Title Statistical mixture design for carbide residue activated blast furnace slag foamed lightweight concrete Author Zhang, Hongzhi (Shandong University) He, Yanchen (Shandong University) Wang, Chuan (Shandong Hi-speed Group) Guan, Yanhua (Shandong University) Ge, Zhi (Shandong University) Sun, Renjuan (Shandong University) Ling, Yifeng (Shandong University) Šavija, B. (TU Delft Materials and Environment) Date 2022 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. Subject Blast furnace slagCarbide residueFoamed lightweight concreteStatistical mixture design To reference this document use: http://resolver.tudelft.nl/uuid:7598bc23-968c-4184-bcac-9d84288e9f51 DOI https://doi.org/10.1016/j.conbuildmat.2022.127840 Embargo date 2023-07-01 ISSN 0950-0618 Source Construction and Building Materials, 342 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. Part of collection Institutional Repository Document type journal article Rights © 2022 Hongzhi Zhang, Yanchen He, Chuan Wang, Yanhua Guan, Zhi Ge, Renjuan Sun, Yifeng Ling, B. Šavija Files PDF 1_s2.0_S0950061822015136_main.pdf 2.18 MB Close viewer /islandora/object/uuid:7598bc23-968c-4184-bcac-9d84288e9f51/datastream/OBJ/view