Calculation Model for Steel Fibre Reinforced Concrete Punching Zones of Bridge Superstructure and Foundation Slabs
The usage of steel fibre reinforced concrete in monolithic joins is well known as a good alternative of additional reinforcement because of chaotic distribution of steel fibres in complex stress ant strain state. Unfortunately, the analysis of well known design codes and different models even in pun...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University Press
2011-09-01
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| Series: | The Baltic Journal of Road and Bridge Engineering |
| Subjects: | |
| Online Access: | https://bjrbe-journals.rtu.lv/article/view/3754 |
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| Summary: | The usage of steel fibre reinforced concrete in monolithic joins is well known as a good alternative of additional reinforcement because of chaotic distribution of steel fibres in complex stress ant strain state. Unfortunately, the analysis of well known design codes and different models even in punching case without steel fibres shows that there is no common theory in calculating punching shear strength. Existing models of punching shear strength with steel fibres are mainly based on empirical coefficients, or require direct tests, what makes the design of such structures more complicated. Besides, the analysis of elastic and plastic characteristics of steel fibre reinforced concrete is incomplete, because there is no unified, well-grounded theory to evaluate them. The aim of this paper is to present steel fibre reinforced concrete punching shear strength model. Suggested steel fibres reinforced concrete punching shear strength model estimates the main factors, such as concrete strength, longitudinal reinforcement, steel fibres volume, type, geometric and anchoring characteristics, and also plastic strains of steel fibre reinforced concrete. The comparison of suggested model with tests results demonstrates good accuracy of the suggested model for steel fibre reinforced concrete slabs (mean value – 1.12, standard deviation – 0.08 coefficient of variation – 7%). |
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| ISSN: | 1822-427X 1822-4288 |