Technical Papers
Apr 23, 2024

Determination of Reduction Factor of Shear Key Configurations for Calculating Direct Shear Strength of Precast Concrete Dry Joints Using Parametric Finite-Element Simulations

Publication: Journal of Bridge Engineering
Volume 29, Issue 7

Abstract

Direct shear strength (DSS) of the precast concrete dry joints (PCDJs) is one of the critical issues for ensuring the structural integrity and performance of the precast segmental concrete bridges (PSCBs). However, the effects of shear key configurations, such as size, shape, spacing, and number of the PCDJs, were studied within narrow value ranges and were not well considered in the widely used AASHTO formula, resulting in unconservative predictions of the formula for multiple-keyed PCDJs. This study investigated the effect of shear key configurations within wider value ranges and incorporated a reduction factor into the AASHTO formula through a newly established parametric finite-element (FE) simulation. The simulation included an automatic procedure of model generation and calculation to derive the DSS of PCDJs based on 13 input parameters of the joint and was validated by a comprehensive database including 111 DSS results of PCDJs collected from existing literature. A parametric study was then conducted on a customized joint, which allows for exploring the PCDJs with large key sizes or numbers. Finally, a reduction factor was proposed to the AASHTO formula based on the test and simulation data considering the effects of key configurations. Results demonstrate that the proposed FE simulation is able to consider the reduction effect from the key configurations and reaches an excellent agreement in predicting the DSS of PCDJs in the database with more accurate mean values (MVs) (0.95 and 0.98), higher R2 values (0.63 and 0.69), and lower root-mean-squared error (RMSE) values (1.00 and 0.79 MPa) for both single-keyed and multiple-keyed joints compared with the results of the AASHTO formula. The parametric study revealed that the ASSHTO formula becomes increasingly unconservative with the increase of key numbers. The reduction factor needs to be included in the formula when multiple-keyed or large-size keyed joints are considered. The AASHTO formula with the reduction factor leads to a conservative prediction performance in the multiple-keyed joints, which is similar to that in the single-keyed joints.

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Data Availability Statement

All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request. Test and FE model results in the database are listed in the Appendix, and Python-based codes are uploaded online at GitHub.

Acknowledgments

The work described in this paper was financially supported by the National Natural Science Foundation of China (Grant No. 52308152) and the Start-up Research Fund of Southeast University (Grant No. RF1028623281). The first author also gratefully acknowledges the financial support from the China Scholarship Council (CSC: 201808320446).

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 29Issue 7July 2024

History

Received: Sep 15, 2023
Accepted: Jan 9, 2024
Published online: Apr 23, 2024
Published in print: Jul 1, 2024
Discussion open until: Sep 23, 2024

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Ph.D. Candidate, Dept. of Civil, Geological, and Mining Engineering, Polytechnique Montreal, 2900 Edouard-Montpetit, Montreal, QC, Canada H3T 1J4. ORCID: https://orcid.org/0000-0002-5799-9447. Email: [email protected]
Professor, State Key Laboratory of Safety, Durability, and Healthy Operation of Long Span Bridges, Southeast Univ., Nanjing 211189, China (corresponding author). Email: [email protected]
Jingquan Wang [email protected]
Professor, State Key Laboratory of Safety, Durability, and Healthy Operation of Long Span Bridges, Southeast Univ., Nanjing 211189, China; Professor, Dept. of Civil Engineering, Jiangsu Univ., Zhenjiang, Jiangsu 212013, China. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA 90095; Ph.D. Candidate, Dept. of Civil, Geological, and Mining Engineering, Polytechnique Montreal, 2900 Edouard-Montpetit, Montreal, QC, Canada H3T 1J4. ORCID: https://orcid.org/0000-0003-1214-5808. Email: [email protected]

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