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A generalised predictive model for the mechanical properties of mono/hybrid fibre-reinforced ultra-high-performance concrete.

Authors :
Hiew, Shack Yee
Teoh, Keat Bin
Raman, Sudharshan N.
Kong, Daniel
Hafezolghorani, Milad
Source :
Construction & Building Materials. May2024, Vol. 426, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Steel fibre, which can exist in the form of mono (single) or hybrid method, exhibits a distinctive fibre reinforcing effect in ultra-high-performance concrete (UHPC). Motivated by the intricate interplay of fibre effects and the ambiguous findings reported in past literature, as well as their limited comparability, the primary objective of this study is to systematically and comprehensively investigate the individual influences of fibre length, fibre geometry, fibre content, hybrid combination type, and hybridisation ratio on the flowability, compressive, and flexural performance of mono and hybrid fibre-reinforced UHPC. In addition, recognising the limited models available to predict the properties of hybrid fibre-reinforced UHPC, we developed two novel non-linear models capable of accurately predicting the compressive and flexural strength of both mono and hybrid fibre-reinforced UHPC together. These models were derived by integrating data from an extensive database encompassing both experimental and literature data. The comprehensive evaluation of the proposed models revealed their excellent accuracy in predicting the mechanical performance of both mono and hybrid fibre-reinforced UHPC. • Insights into the effects of fibre geometry, length, content, and hybridisation. • Fibre usage recommendations for optimal fresh and hardened properties. • Generalised models for mechanical properties of mono/hybrid fibre-reinforced UHPC. • Proposed regression models provide robust and accurate predictions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09500618
Volume :
426
Database :
Academic Search Index
Journal :
Construction & Building Materials
Publication Type :
Academic Journal
Accession number :
176686179
Full Text :
https://doi.org/10.1016/j.conbuildmat.2024.136154