Influence of Fast Freeze-Thaw Cycles on the Behavior of Segmental Bridge Shear Key Joints Using Nonlinear Finite Element Analysis
The structural behavior of precast concrete segmental bridges is very important to investigate, and the necessity is increased under the effect of being exposed to severe environmental conditions, such as freezing and thawing cycles. In this study, nonlinear finite element analysis (NLFEA) was adopt...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/11/1892 |
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| Summary: | The structural behavior of precast concrete segmental bridges is very important to investigate, and the necessity is increased under the effect of being exposed to severe environmental conditions, such as freezing and thawing cycles. In this study, nonlinear finite element analysis (NLFEA) was adopted to address the behavior of reinforced shear keys where they were very small and distributed within the overall depth of the connection region. The effect of the amount of lateral confinement was investigated using six values (1, 2, 3, 4, 5, and 6 MPa), along with the effect of different freezing-thawing cycles (0 (undamaged), 100, 200, 300, and 400). Simulation was accomplished using the direct static shear method, where vertical loading was applied. The simulated models were first validated using experimental data from the literature, where the overall structural behavior was captured well. Thirty NLFEA models were simulated, and results were reported in terms of the load-deflection characteristics and the detailed cracking propagation process. It was found that increasing the lateral confinement will increase the shear strength capacity of the confined joint, in addition to increasing the ultimate deflection and initial stiffness values. Furthermore, a new formula was introduced for calculating the shear capacity compared with experimental data, NLFEA results, literature models, and AASHTO predictions, where good matching was observed, with a minor margin error. |
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| ISSN: | 2075-5309 |