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Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration

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This study enhances bridge structural analysis using kriging models and particle swarm optimization (PSO) for accurate dynamic model updating. The approach efficiently predicts responses, reducing computational time for complex bridge structures.

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Area of Science:

  • Structural Engineering
  • Computational Mechanics
  • Vibration Analysis

Background:

  • Dynamic model updating is crucial for assessing bridge health and performance.
  • Higher vibration modes are sensitive indicators of structural changes, especially under large-amplitude conditions.
  • Traditional finite element model updating can be computationally intensive.

Purpose of the Study:

  • To develop an efficient method for dynamic model updating of bridge structures.
  • To utilize higher vibration modes for improved accuracy in model updating.
  • To reduce the computational cost associated with finite element model updating.

Main Methods:

  • Applied time-domain operational modal analysis for higher mode identification.
  • Established a kriging surrogate model using Latin hypercube sampling and regression analysis.
  • Integrated the kriging model with the particle swarm optimization (PSO) algorithm for model updating.
  • Defined an objective function comparing predicted and measured responses.

Main Results:

  • The kriging model accurately predicted analytical responses of the bridge structure.
  • The particle swarm optimization (PSO) algorithm effectively updated the finite element model.
  • The proposed approach demonstrated efficiency in reducing computational time.
  • Validation on the Jalón viaduct confirmed the method's effectiveness for concrete continuous railway bridges.

Conclusions:

  • The kriging model serves as an effective surrogate for complex finite element models in structural dynamics.
  • The combination of kriging and PSO offers a computationally efficient solution for dynamic model updating.
  • The methodology is validated for practical application in assessing existing bridge structures.