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Stiffness Identification of Truss Joints of the Nam O Bridge Based on Vibration Measurements and Model Updating

  • Hoa Tran-Ngoc
  • Samir Khatir
  • Guido De Roeck
  • Thanh Bui-Tien
  • Long Nguyen-Ngoc
  • Magd Abdel WahabEmail author
Conference paper
Part of the Structural Integrity book series (STIN, volume 11)

Abstract

This paper presents an approach for stiffness identification of node joints of a large-scale truss bridge (Nam O Bridge in Vietnam) based on vibration measurements and model updating. Vibrations are recorded under ambient conditions using piezoelectric sensors. Excitation is due to wind, micro-tremors, or train passage. From these vibrations, modal parameters are extracted. Modal analysis is also performed using a finite element model created in MATLAB. Afterwards, model updating is applied to minimize the discrepancy between numerical and experimental modal analysis results. Evolutionary algorithm such as particle swarm optimization (PSO) based on a global search technique is employed. Three scenarios of boundary conditions of truss joints (pin, rigid, and semi-rigid) are considered. The result of model updating shows that semi-rigid (using rotational springs) joint conditions represents correctly the dynamic behavior of the considered bridge.

Keywords

Ambient vibration measurements Modal analysis Stiffness conditions of truss joints Model updating Evolutionary algorithm Particle swarm optimization 

Notes

Acknowledgments

The authors acknowledge the financial support of VLIR-OUS TEAM Project, VN2018TEA479A103, ‘Damage assessment tools for Structural Health Monitoring of Vietnamese infrastructures’ funded by the Flemish Government. Moreover, the first author acknowledges the financial supports from University of Transport and Communications (UTC) under the project research “T2019- 02TĐ”. Open image in new window

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hoa Tran-Ngoc
    • 1
    • 2
  • Samir Khatir
    • 1
  • Guido De Roeck
    • 3
  • Thanh Bui-Tien
    • 2
  • Long Nguyen-Ngoc
    • 2
  • Magd Abdel Wahab
    • 1
    Email author
  1. 1.Department of Electrical Energy, Metals, Mechanical Constructions, and Systems, Faculty of Engineering and ArchitectureGhent UniversityGhentBelgium
  2. 2.University of Transport and CommunicationsHanoiVietnam
  3. 3.Department of Civil EngineeringKU LeuvenLeuvenBelgium

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