Briefing: Improved TR63 model for shear strength prediction in HSFRC beams

This study presents an improvement in the TR63 model for predicting the shear strength of fibre-reinforced concrete beams, focusing on high-strength concrete reinforced with industrial and recycled steel fibres. The modified TR63 model incorporates critical parameters, including shear span ratio, fibre properties, and residual flexural strength, addressing limitations in existing design standards and offering a more accurate predictive framework. Statistical analysis of 164 experimental datasets demonstrates the model’s high predictive accuracy, with an average prediction-to-experiment ratio of 0.98 and a low standard deviation below 20% for most data points. The model’s conservative approach ensures safety redundancy, aligning with structural safety principles. Enhanced by regression analysis, the revised TR63 formulas bridge the gap between empirical observations and analytical predictions, making them well-suited to modern construction needs.

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Publication Details

Journal
Proceedings of the Institution of Civil Engineers - Construction Materials
Published
2024-11-18
DOI
https://doi.org/10.1680/jcoma.24.00121
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
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article

Briefing: Improved TR63 model for shear strength prediction in HSFRC beams

Sakdirat Kaewunruen, Xia Qin
5 links
Proceedings of the Institution of Civil Engineers - Construction Materials
Structural Behavior of Reinforced Concrete
article

Briefing: Improved TR63 model for shear strength prediction in HSFRC beams

Sakdirat Kaewunruen, Xia Qin
article en

Abstract

This study presents an improvement in the TR63 model for predicting the shear strength of fibre-reinforced concrete beams, focusing on high-strength concrete reinforced with industrial and recycled steel fibres. The modified TR63 model incorporates critical parameters, including shear span ratio, fibre properties, and residual flexural strength, addressing limitations in existing design standards and offering a more accurate predictive framework. Statistical analysis of 164 experimental datasets demonstrates the model’s high predictive accuracy, with an average prediction-to-experiment ratio of 0.98 and a low standard deviation below 20% for most data points. The model’s conservative approach ensures safety redundancy, aligning with structural safety principles. Enhanced by regression analysis, the revised TR63 formulas bridge the gap between empirical observations and analytical predictions, making them well-suited to modern construction needs.

Proceedings of the Institution of Civil Engineers - Construction MaterialsVol. 178(6)
University of Birmingham (GB)
Openalex Percentile: Top 68%
Structural Behavior of Reinforced Concrete
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