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Statistical Modelling of Flexural Fatigue Response of Steel Fibre Reinforced Concrete
Steel fibre reinforced concrete (SFRC) is widely recommended where fatigue is a predominant mode of failure, such as concrete bridges, offshore structures, and concrete pavements. From a detailed literature review, it was observed that the different fibre parameters like fibre type, fibre volume, aspect ratio, etc., influence the crack resistance performance and thus, the fatigue endurance limit. This paper attempts to understand the effect of various test parameters (stress ratio, frequency) and fibre parameters (length, diameter, volume of fibres, aspect ratio, and reinforcing index) on the fatigue life of SFRC based on available literature data. Studies involving SFRC with volume fractions of 0.13–2.0% are included in the analysis. The objective of the current study is to propose a generalized fatigue model, based on statistical analysis of data available from literature, for pre-cracked SFRC with the consideration of the above variables. A multiple linear regression (MLR) analysis using SPSS software was used to perform analysis of variance (ANOVA). The most significant parameters, obtained from the analysis, for the prediction of fatigue life of pre-cracked SFRC are stress ratio, length of fibre and reinforcing index. The generalized expression can be used for the prediction of the post cracking fatigue life of SFRC for volume fractions within the range of 0.13–2.0%. It is envisaged that these generalized models could be integrated into any SFRC design methodology requiring fatigue response prediction, leading to better-optimized designs. Overall, this study expands the state-of-the-art on fatigue behaviour of SFRC and its analysis.
Statistical Modelling of Flexural Fatigue Response of Steel Fibre Reinforced Concrete
Steel fibre reinforced concrete (SFRC) is widely recommended where fatigue is a predominant mode of failure, such as concrete bridges, offshore structures, and concrete pavements. From a detailed literature review, it was observed that the different fibre parameters like fibre type, fibre volume, aspect ratio, etc., influence the crack resistance performance and thus, the fatigue endurance limit. This paper attempts to understand the effect of various test parameters (stress ratio, frequency) and fibre parameters (length, diameter, volume of fibres, aspect ratio, and reinforcing index) on the fatigue life of SFRC based on available literature data. Studies involving SFRC with volume fractions of 0.13–2.0% are included in the analysis. The objective of the current study is to propose a generalized fatigue model, based on statistical analysis of data available from literature, for pre-cracked SFRC with the consideration of the above variables. A multiple linear regression (MLR) analysis using SPSS software was used to perform analysis of variance (ANOVA). The most significant parameters, obtained from the analysis, for the prediction of fatigue life of pre-cracked SFRC are stress ratio, length of fibre and reinforcing index. The generalized expression can be used for the prediction of the post cracking fatigue life of SFRC for volume fractions within the range of 0.13–2.0%. It is envisaged that these generalized models could be integrated into any SFRC design methodology requiring fatigue response prediction, leading to better-optimized designs. Overall, this study expands the state-of-the-art on fatigue behaviour of SFRC and its analysis.
Statistical Modelling of Flexural Fatigue Response of Steel Fibre Reinforced Concrete
RILEM Bookseries
Serna, Pedro (editor) / Llano-Torre, Aitor (editor) / Martí-Vargas, José R. (editor) / Navarro-Gregori, Juan (editor) / Koorikkattil, Ajeesh (author) / Nayar, Sunitha K (author) / Venudharan, Veena (author)
RILEM-fib International Symposium on Fibre Reinforced Concrete ; 2021 ; Valencia, Spain
Fibre Reinforced Concrete: Improvements and Innovations II ; Chapter: 38 ; 433-442
RILEM Bookseries ; 36
2021-09-05
10 pages
Article/Chapter (Book)
Electronic Resource
English
Flexural Fatigue Performance of Steel Fibre Reinforced Concrete
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