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Bridge Digital Twinning Using an Output-Only Bayesian Model Updating Method and Recorded Seismic Measurements.

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  • 1Department of Civil & Environmental Engineering, University of California, Los Angeles, CA 90095, USA.

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Summary

This study introduces a digital twin approach for rapid bridge damage assessment after earthquakes. It uses Bayesian model updating to improve accuracy and identify damage, aiding emergency response.

Keywords:
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Area of Science:

  • Civil Engineering
  • Computational Mechanics
  • Seismology

Background:

  • Manual post-earthquake bridge inspections are time-consuming and hazardous.
  • Existing Finite Element (FE) models for seismic response simulation have uncertainties in material properties and input motions.
  • Digital technologies offer potential for faster and more accurate damage diagnosis.

Purpose of the Study:

  • To develop and validate a sequential Bayesian model updating technique for joint identification of bridge FE models and foundation input motions.
  • To reduce uncertainties in seismic response analysis of bridges by integrating sensor data with prior models.
  • To demonstrate the application of digital twinning for real-time structural health monitoring and damage diagnosis.

Main Methods:

  • Sequential Bayesian model updating to jointly identify linear/nonlinear FE models and foundation input motions.
  • Incorporation of soil-structure interaction effects within the FE models.
  • Numerical verification studies and a real-world case study using seismic data from the San Rogue Canyon Bridge.

Main Results:

  • The model updating technique effectively identified bridge responses with reasonable agreement to recorded data.
  • Valuable insights into soil-structure interaction effects were obtained by comparing free-field and foundation input motions.
  • The updated FE model, acting as a digital twin, showed potential for detailed damage diagnosis at various structural levels.

Conclusions:

  • The presented Bayesian model updating technique is effective for seismic response analysis and damage diagnosis of bridges.
  • Digital twinning, through updated FE models, offers a powerful tool for post-earthquake assessment and structural health monitoring.
  • The methodology has significant potential for real-world applications in bridge safety and resilience.