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Improved Finite Element Model Updating of a Highway Viaduct Using Acceleration and Strain Data.

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Model Updating Concept Using Bridge Weigh-in-Motion Data.

Doron Hekič1,2, Andrej Anžlin2, Maja Kreslin2

  • 1Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia.

Sensors (Basel, Switzerland)
|February 28, 2023
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Summary

This study successfully updated a finite element (FE) bridge model using strain data from a bridge weigh-in-motion (B-WIM) system. This approach enhances structural monitoring and can utilize data from random vehicle weighings.

Keywords:
bridgebridge weigh-in-motion (B-WIM)calibrationfinite element (FE)model updatingmonitoringstructural health monitoring (SHM)viaduct

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Area of Science:

  • Structural Engineering
  • Computational Mechanics
  • Bridge Engineering

Background:

  • Finite element (FE) model updating traditionally relies on modal parameters or known loads.
  • Strain measurements from bridge weigh-in-motion (B-WIM) systems have not been widely utilized for FE model updating.
  • Continuous monitoring systems offer rich data for structural analysis.

Purpose of the Study:

  • To investigate the use of strain measurements from a B-WIM system for updating the FE model of a concrete highway viaduct.
  • To assess the effectiveness of incorporating B-WIM data into the model updating process.
  • To explore the potential for long-term structural monitoring using this methodology.

Main Methods:

  • Utilized strain data from a B-WIM system installed on a multi-span concrete highway viaduct.
  • Compared measured longitudinal strains with modelled strains from a detailed FE model.
  • Updated three key variables affecting structural stiffness: Young's modulus adjustment factor and two anchorage reduction factors.
  • Employed a sensitivity study to guide the model updating process.

Main Results:

  • Demonstrated the successful integration of pseudo-static B-WIM loading data for FE model updating.
  • Confirmed the importance of manual FE model updating to account for non-structural elements during nonlinear optimization.
  • Validated the feasibility of using B-WIM strain data to refine bridge stiffness parameters.

Conclusions:

  • The proposed method effectively utilizes B-WIM data for finite element model updating of bridges.
  • This approach holds significant potential for long-term structural health monitoring and analysis of load-dependent phenomena.
  • Future work can extend this methodology to utilize data from random B-WIM-weighed vehicles.