IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i5p1106-d1077333.html
   My bibliography  Save this article

Ordinary Kriging Interpolation Method Combined with FEM for Arch Dam Deformation Field Estimation

Author

Listed:
  • Chenfei Shao

    (College of Civil and Transportation Engineering, Hohai University, Nanjing 210024, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210024, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210024, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210024, China)

  • Yanxin Xu

    (College of Civil and Transportation Engineering, Hohai University, Nanjing 210024, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210024, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210024, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210024, China)

  • Huixiang Chen

    (College of Agricultural Science and Engineering, Hohai University, Nanjing 210024, China)

  • Sen Zheng

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210024, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210024, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210024, China)

  • Xiangnan Qin

    (Yellow River Laboratory, Zhengzhou University, Zhengzhou 450001, China)

Abstract

The deformation characteristic of the arch dam can directly reflect its service performance, which can be analyzed on the basis of the dam deformation field. However, restricted by the limited number of dam monitoring points and the inhomogeneity of materials, an accurate measurement of arch dam deformation field is difficult to estimate by using the existing common methods, such as the spatial interpolation methods and the finite element method (FEM). With the aim of ensuring arch dam structure safety, the ordinary kriging interpolation method, combined with FEM, is proposed for arch dam deformation field estimation, in this study. Given the inversion of the computation parameters of the arch dam, FEM is used to calculate the basic arch dam deformation. Subsequently, the ordinary kriging interpolation method is introduced to estimate the spatial variance deformation at each point of the arch dam. One superhigh arch dam in China is selected as a case study; two additional methods are introduced as comparisons that are based on a numerical experiment and the actual monitoring data. The experimental results show that the proposed method considerably improves the accuracy and computational efficiency of the arch dam deformation field estimation and that it is of great practical importance for characterizing the deformation behavior of arch dams.

Suggested Citation

  • Chenfei Shao & Yanxin Xu & Huixiang Chen & Sen Zheng & Xiangnan Qin, 2023. "Ordinary Kriging Interpolation Method Combined with FEM for Arch Dam Deformation Field Estimation," Mathematics, MDPI, vol. 11(5), pages 1-22, February.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:5:p:1106-:d:1077333
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/5/1106/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/5/1106/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huaizhi Su & Xiaoqun Yan & Hongping Liu & Zhiping Wen, 2017. "Integrated Multi-Level Control Value and Variation Trend Early-Warning Approach for Deformation Safety of Arch Dam," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 2025-2045, April.
    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. Liansheng Sang & Jun Wang & Jueyi Sui & Mauricio Dziedzic, 2022. "A New Approach for Dam Safety Assessment Using the Extended Cloud Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5785-5798, December.
    2. Xin Yang & Yan Xiang & Guangze Shen & Meng Sun, 2022. "A Combination Model for Displacement Interval Prediction of Concrete Dams Based on Residual Estimation," Sustainability, MDPI, vol. 14(23), pages 1-17, November.

    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:jmathe:v:11:y:2023:i:5:p:1106-:d:1077333. 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.