Characterization Model Research on Deformation of Arch Dam Based on Correlation Analysis Using Monitoring Data

Zhongwen Shi (), Jun Li, Yanbo Wang, Chongshi Gu (), Hailei Jia, Ningyuan Xu, Junjie Zhai and Wenming Pan
Additional contact information
Zhongwen Shi: Nanjing Hydraulic Research Institute, Nanjing 210029, China
Jun Li: Nanjing Hydraulic Research Institute, Nanjing 210029, China
Yanbo Wang: College of Water Resources and Hydropower, Hohai University, Nanjing 210098, China
Chongshi Gu: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210029, China
Hailei Jia: Nanjing Hydraulic Research Institute, Nanjing 210029, China
Ningyuan Xu: Nanjing Hydraulic Research Institute, Nanjing 210029, China
Junjie Zhai: Nanjing Hydraulic Research Institute, Nanjing 210029, China
Wenming Pan: Nanjing Hydraulic Research Institute, Nanjing 210029, China

Mathematics, 2024, vol. 12, issue 19, 1-19

Abstract: Deformation is the most direct indicator of structural state changes in arch dams. Therefore, numerous deformation monitoring points are typically arranged on arch dams to obtain deformation data from each point. Considering the complex relationships between the deformation at each monitoring point, this study focuses on the internal structural relationships and information fusion within the dam. The Pearson correlation coefficient is used as a similarity index to determine significant linear correlations between the measuring points. Ward’s cluster analysis method is then applied to group these points based on their similarities. To identify measuring points with strong nonlinear correlations, the Maximum Information Coefficient (MIC) method is employed. By integrating these linear and nonlinear correlations, a model is constructed to characterize the deformation at specific measurement points using data from strongly correlated points. The effectiveness of this model is verified through a concrete engineering case study, offering a novel approach for analyzing arch dam deformations.

Keywords: deformation of arch dam; monitoring data; correlation analysis; characterization model; cluster analysis; maximum information coefficient (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/19/3110/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/19/3110/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:19:p:3110-:d:1492177

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().