Structural Responses Estimation of Cable-Stayed Bridge from Limited Number of Multi-Response Data

Namju Byun, Jeonghwa Lee, Joo Young Won, Young Jong Kang

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


A cable-stayed bridge is widely adopted to construct long-span bridges. The deformation of cable-stayed bridges is relatively larger than that of conventional bridges, such as beam and truss types. Therefore, studies regarding the monitoring systems for cable-stayed bridges have been conducted to evaluate the performance of bridges based on measurement data. However, most studies required sufficient measurement data for evaluation and just focused on the local response estimation. To overcome these limitations, Structural Responses Analysis using a Limited amount of Multi-Response data (SRALMR) was recently proposed and validated with the beam and truss model that has a simple structural behavior. In this research, the structural responses of a cable-stayed bridge were analyzed using SRALMR. The deformed shape and member internal forces were estimated using a limited amount of displacement, slope, and strain data. Target structural responses were determined by applying four load cases to the numerical model. In addition, pre-analysis for initial shape analysis was conducted to determine the initial equilibrium state, minimizing the deformation under dead loads. Finally, the performance of SRALMR for cable-stayed bridges was analyzed according to the combination and number of response data.

Original languageEnglish
Article number3745
Issue number10
Publication statusPublished - 2022 May 1

Bibliographical note

Funding Information:
Funding: This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korea Government (MIST) (No. 2020R1A2C2014450).

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.


  • cable-stayed bridge
  • deformed shape
  • member internal force
  • multi-response data

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering


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