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Effectiveness of hybrid steel-basalt fiber reinforced concrete under compression
Case Studies in Construction Materials, 2022-06, Vol.16, p.e00941, Article e00941
[Peer Reviewed Journal]
2022 The Authors ;ISSN: 2214-5095 ;DOI: 10.1016/j.cscm.2022.e00941
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Title:
Effectiveness of hybrid steel-basalt fiber reinforced concrete under compression
Author:
Khan, Mehran
;
Cao, Mingli
;
Xie, Chaopeng
;
Ali, Majid
Subjects:
Calcium carbonate
;
Compression strength
;
Concrete
;
Fiber reinforcement
;
Mechanical properties
Is Part Of:
Case Studies in Construction Materials, 2022-06, Vol.16, p.e00941, Article e00941
Description:
The compressive behavior of plain concrete (PC) is more vulnerable to failure under applied load compared to fiber reinforced concrete. Nowadays, multi scale hybrid fibers are used in place of single fibers in concrete in order to get superior properties with hybrid fibers at various scales. The uniaxial compressive behavior of multi scale hybrid fiber reinforced concrete is examined in this study. The aim of this research is to find out the influence of basalt fiber length and content on the properties of steel fiber-CaCO3 whisker reinforced fly ash concrete. Compressive strength, toughness index (ɳ), capability coefficient index (ξ), and analytical modeling of basalt-steel fiber-CaCO3 whisker reinforced fly ash concrete (BSC-FAC) are studied. The different substantial degrees of improvement had been observed with great potential for compressive characteristics of BSC-FAC than that of PC. Furthermore, the developed compressive stress-strain curves analytical fitting models showed great suitability with the experimental data. [Display omitted] •The features of basalt-steel fiber-CaCO3 whisker reinforced fly ash concrete (BSC-FAC) is studied.•Compressive strength, toughness index, and capability coefficient index are determined.•Compressive stress-strain curves analytical models are established.•The positive influence of basalt fibers is attributed towards the better performance of BSC-FAC.•The developed analytical fitting models showed great suitability with the experimental data.
Publisher:
Elsevier Ltd
Language:
English
Identifier:
ISSN: 2214-5095
DOI: 10.1016/j.cscm.2022.e00941
Source:
Directory of Open Access Scholarly Resources (ROAD)
Directory of Open Access Journals
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