TY - JOUR
T1 - A generalised predictive model for the mechanical properties of mono/hybrid fibre-reinforced ultra-high-performance concrete
AU - Hiew, Shack Yee
AU - Teoh, Keat Bin
AU - Kong, Daniel
AU - Hafezolghorani, Milad
A2 - Raman, Sudharshan N.
N1 - Funding Information:
The authors would like to extend their gratitude to Monash University Malaysia for providing the necessary funding for this research through the High Impact Research Support Fund 2022, HIRSF2022 (Ref.: STG-000171). The authors would like to thank DURA Technology Sdn Bhd for sponsoring the UHPC premix used in this research. Assistance from Mr. Lee Chun Yuan during the experiment is greatly appreciated.
Funding Information:
The authors would like to extend their gratitude to Monash University Malaysia for providing the necessary funding for this research through the High Impact Research Support Fund 2022, HIRSF2022 (Ref.: STG-000171 ) and the School of Engineering Seed Grant 2021 (Ref.: SED-000043 ). The authors would like to thank DURA Technology Sdn Bhd for sponsoring the UHPC premix. Assistance from Mr. Lee Chun Yuan during the experiment is greatly appreciated.
Publisher Copyright:
© 2024 The Author(s)
PY - 2024/5/3
Y1 - 2024/5/3
N2 - 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.
AB - 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.
KW - Hybrid fibre reinforcement
KW - Mechanical performance
KW - Mono fibre reinforcement
KW - Predictive modelling
KW - Ultra-high-performance concrete (UHPC)
UR - https://www.scopus.com/pages/publications/85189749396
U2 - 10.1016/j.conbuildmat.2024.136154
DO - 10.1016/j.conbuildmat.2024.136154
M3 - Article
AN - SCOPUS:85189749396
SN - 0950-0618
VL - 426
JO - Construction and Building Materials
JF - Construction and Building Materials
M1 - 136154
ER -
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action