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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1 November 2025
Brief Report|
August 05 2025
Briefing: Improved TR63 model for shear strength prediction in HSFRC beams Available to Purchase
Xia Qin;
Xia Qin
Department of Civil Engineering, School of Engineering,
University of Birmingham
, Birmingham, UK
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Sakdirat Kaewunruen
Department of Civil Engineering, School of Engineering,
University of Birmingham
, Birmingham, UK
Corresponding author Sakdirat Kaewunruen (s.kaewunruen@bham.ac.uk)
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Corresponding author Sakdirat Kaewunruen (s.kaewunruen@bham.ac.uk)
Publisher: Emerald Publishing
Received:
November 28 2024
Accepted:
June 30 2025
Online ISSN: 1747-6518
Print ISSN: 1747-650X
Funding
Funding Group:
- Award Group:
- Funder(s): the European Commission for the financial sponsorship
- Award Id(s): 691135
- Funder(s):
- Award Group:
- Funder(s): the European Commission’s Shift2Rail
- Award Id(s): 730849
- Funder(s):
- Award Group:
- Funder(s): UK Engineering and Physical Science Research Council (EPSRC)
- Award Id(s): EP/Y015401/1
- Funder(s):
- Funding Statement(s): The authors are grateful to the European Commission for the financial sponsorship of the H2020-RISE Project No. 691135 “RISEN: Rail Infrastructure Systems Engineering Network”, which enables a global research network that tackles the grand challenge in railway infrastructure resilience and advanced sensing in extreme environments (www.risen2rail.eu). In addition, this project was partially supported by the European Commission’s Shift2Rail, H2020-S2R Project No. 730849 “S-Code: Switch and Crossing Optimal Design and Evaluation”, and UK Engineering and Physical Science Research Council (EPSRC) for the financial sponsorship of Re4Rail project (Grant No. EP/Y015401/1).
© 2025 Emerald Publishing Limited: All rights reserved
2025
Emerald Publishing Limited
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Proceedings of the Institution of Civil Engineers - Construction Materials (2025) 178 (6): 269–274.
Article history
Received:
November 28 2024
Accepted:
June 30 2025
Citation
Qin X, Kaewunruen S (2025), "Briefing: Improved TR63 model for shear strength prediction in HSFRC beams". Proceedings of the Institution of Civil Engineers - Construction Materials, Vol. 178 No. 6 pp. 269–274, doi: https://doi.org/10.1680/jcoma.24.00121
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