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Paper ID:IJSREM64589

Dynamic Analysis of Prestressed Girder: Comparative Finite Element Study of RCC and PSC Bridge Systems

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64589

Volume:

10 |

6 |

Jun 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RGS

Ritesh G. Shete

Engineering

M. B. E. Society’s College of Engineering, Ambajogai

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DVSR

Dr. V. S. Rajamanya

Engineering

M. B. E. Society’s College of Engineering, Ambajogai

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PPAV

Prof. P. A. Vedpathak

Engineering

M. B. E. Society’s College of Engineering, Ambajogai

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PJMC

Prof. J. M. Chavan

Engineering

M. B. E. Society’s College of Engineering, Ambajogai

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Abstract

This paper presents a comparative finite element study of reinforced cement concrete (RCC) and prestressed cement concrete (PSC) girder bridge systems for a representative two-span continuous bridge of 40 m + 40 m configuration. The study is motivated by the practical design problem of selecting a structurally efficient and serviceable bridge system for medium-span highway applications under Indian Roads Congress (IRC) loading conditions. A uniform bridge geometry, carriageway width, deck slab thickness and support configuration were considered for both variants so that the influence of prestressing on structural response could be clearly identified. The bridge models were analysed in STAAD-Pro using shell elements for the deck slab and beam elements for the longitudinal and cross girders. Dead load, superimposed dead load, IRC Class AA tracked loading and IRC Class A loading were applied. The comparison focuses on bending moment, shear force, support reaction, mid-span deflection and deck slab stress response. The results show that the PSC system reduces sagging moments and significantly improves serviceability by limiting deflection and bottom fibre tensile stress. Although the PSC option shows slightly higher pier reactions and a marginally higher initial construction cost, it offers superior structural efficiency, reduced cracking potential and better long-term durability. The study confirms that prestressing is particularly advantageous for medium-span continuous girder bridges where performance, durability and life-cycle economy govern system selection.

KEYWORDS

Prestressed girder RCC bridge PSC bridge STAAD-Pro finite element analysis IRC loading bridge serviceability.

Cite This Article

Ritesh G. Shete, Dr. V. S. Rajamanya, Prof. P. A. Vedpathak, Prof. J. M. Chavan, "Dynamic Analysis of Prestressed Girder: Comparative Finite Element Study of RCC and PSC Bridge Systems," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-9, Jun 2026.

Full Article/Conclusion

The comparative study demonstrates that prestressing significantly improves the structural performance of the selected continuous girder bridge system. Relative to the RCC bridge, the PSC variant shows lower sagging moments, lower mid-span deflection and substantially reduced tensile stress in the deck slab, indicating better serviceability and greater resistance to cracking. Although the PSC bridge develops somewhat higher hogging moments and support reactions near the intermediate pier, these effects are manageable through appropriate detailing. From an engineering viewpoint, the PSC alternative provides a better balance of stiffness, durability and span efficiency for the 40 m + 40 m bridge configuration studied. Hence, for medium-span bridge applications where long-term performance is important, the PSC girder system is preferable to the conventional RCC alternative.

References

1.      AbdelMalek, H., Abdulazeez, M. M., & ElGawady, M. A. (2024). Performance of prestressed bridge girders subjected to vehicle impacts. Missouri University of Science and Technology. 2.      Agarwal, P., Pal, P., & Mehta, P. K. (2023). Finite element analysis of reinforced concrete curved box-girder bridges. Advances in Bridge Engineering, 4(1), 1–21. doi:10.1186/s43251-023-00080-7 3.      Chen, Y., Wu, W., Li, Q., Guo, P., Cai, Y., & Wei, J. (2025). Identification of mechanical parameters of prestressed box girder bridge based on falling weight deflectometer. Buildings, 15(13), 2243. doi:10.3390/buildings15132243 4.      Elshazli, M. T., AbdelMalek, H., Abdulazeez, M. M., & ElGawady, M. A. (2024). Comprehensive numerical modeling of prestressed girder bridges subjected to lateral impact loads. Buildings, 14(3), 640. doi:10.3390/buildings14030640 5.      Haghighi, H., & Urgessa, G. (2024). Finite element analysis of pre-stressed ultra-high-performance concrete (UHPC) girders. Eng, 5(3), 2362–2378. doi:10.3390/eng5030123 6.      He, J., Wu, W., Tan, Z., Li, D., Cai, Y., & Guo, P. (2024). Analysis of the prestressing loss influence in prefabricated concrete bridges based on a drop weight impact method. Buildings, 14(12), 3961. doi:10.3390/buildings14123961 7.      Jia, S., Akiyama, M., & Frangopol, D. M. (2024). Probabilistic structural identification using time-dependent deflection of prestressed concrete bridges. In Bridge Maintenance, Safety, Management, Digitalization and Sustainability: Proceedings of IABMAS 2024 (pp. 503–509). CRC Press. doi:10.1201/9781003483755-56 8.      Liu, J., Alexander, J., Song, S., & Li, Y. (2024). Finite-element-based study on girder behavior and load-sharing of shear-connected multigirder prestressed concrete bridges. Journal of Bridge Engineering, 29(3). doi:10.1061/JBENF2.BEENG-6064 9.      Sarmiento, S. J., Agredo-Chávez, A. M., & others. (2025). Time-dependent reliability of a prestressed concrete bridge incorporating residual prestress and material properties updates for service limit state assessment. Structure and Infrastructure Engineering. doi:10.1080/15732479.2025.2571887 10.   Sun, Z., Zhao, S., Liang, B., & Liu, Z. (2024). Structure deterioration identification and model updating for prestressed concrete bridges based on massive point cloud data. Applied Sciences, 14(21), 10007. doi:10.3390/app142110007

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Publication Date

6/6/2026

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Review Rounds: 2

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