IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8257-d1150497.html
   My bibliography  Save this article

Analysis and Verification of Load–Deformation Response for Rocking Self-Centering Bridge Piers

Author

Listed:
  • Shijie Wang

    (Key Laboratory of Building Collapse Mechanism and Disaster Prevention, Institute of Disaster Prevention, China Earthquake Administration, Beijing 065201, China)

  • Zhiguo Sun

    (Key Laboratory of Building Collapse Mechanism and Disaster Prevention, Institute of Disaster Prevention, China Earthquake Administration, Beijing 065201, China)

  • Dongsheng Wang

    (School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China)

Abstract

Rocking self-centering (RSC) bridge piers were proposed based on the bridge seismic resilience design theory, pushing the development of bridge sustainability. To develop a seismic design method for RSC bridge piers, a clear understanding of their behavior under earthquakes is essential. This study analyzed the whole lateral force–displacement response of RSC piers, taking into account both rotational and flexural deformation, which resulted in a clearer understanding of their behavior under seismic actions. In this study, the whole loading process was simplified into three statuses, and a calculation method was developed to determine the relationship between lateral force and displacement of both single-column and double-column RSC bridge piers. The accuracy of the proposed method was verified by comparing the calculated results with experimental data for six single-column and two double-column RSC bridge piers. The results show that the proposed calculation method predicts the initial stiffness, yield and peak loads, and yield and peak displacements well for RSC bridge piers. The method offers valuable insights into the seismic response of RSC bridge piers, which can serve as a reference for future research, promoting the safety and stability of these structures.

Suggested Citation

  • Shijie Wang & Zhiguo Sun & Dongsheng Wang, 2023. "Analysis and Verification of Load–Deformation Response for Rocking Self-Centering Bridge Piers," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8257-:d:1150497
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8257/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/10/8257/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yan, Ran & Wang, Shuaian & Cao, Jiannong & Sun, Defeng, 2021. "Shipping Domain Knowledge Informed Prediction and Optimization in Port State Control," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 52-78.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tian, Xuecheng & Yan, Ran & Liu, Yannick & Wang, Shuaian, 2023. "A smart predict-then-optimize method for targeted and cost-effective maritime transportation," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 32-52.
    2. Xuecheng Tian & Yanxia Guan & Shuaian Wang, 2023. "A Decision-Focused Learning Framework for Vessel Selection Problem," Mathematics, MDPI, vol. 11(16), pages 1-13, August.
    3. Yan, Ran & Wang, Shuaian & Zhen, Lu, 2023. "An extended smart “predict, and optimize” (SPO) framework based on similar sets for ship inspection planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    4. Ran Yan & Wen Yi & Shuaian Wang, 2022. "Predicting Maximum Work Duration for Construction Workers," Sustainability, MDPI, vol. 14(17), pages 1-12, September.
    5. Xuecheng Tian & Shuaian Wang, 2022. "Cost-Sensitive Laplacian Logistic Regression for Ship Detention Prediction," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    6. Wang, Shuaian & Yan, Ran, 2023. "Fundamental challenge and solution methods in prescriptive analytics for freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8257-:d:1150497. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.