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Bridge Displacement Estimation Using a Co-Located Acceleration and Strain.

Muhammad Zohaib Sarwar1, Jong-Woong Park2

  • 1Department of Structural Engineering, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study introduces a novel reference-free method for estimating bridge displacement using acceleration and strain measurements. The technique offers a robust and efficient alternative for structural health monitoring without needing external reference points.

Keywords:
adaptive Kalman filterdisplacement estimationreference-free displacementsensor fusionstructural health monitoring

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Area of Science:

  • Civil Engineering
  • Structural Engineering
  • Bridge Engineering

Background:

  • Structural displacement is crucial for assessing structural integrity and stiffness.
  • Existing displacement measurement techniques often require fixed reference points, limiting practical applications.
  • Reference-free methods using indirect measurements like acceleration and strain are promising alternatives.

Purpose of the Study:

  • To propose a novel reference-free method for estimating bridge displacement.
  • To fuse single acceleration measurements with pseudo-static displacement derived from strain data.
  • To validate the proposed method through numerical simulations and experimental testing.

Main Methods:

  • Developing a reference-free calibration to convert strain measurements into displacement.
  • Implementing an adaptive Kalman filter to fuse strain-derived displacement with acceleration data.
  • Recursively estimating noise covariance for the strain-derived displacement to enhance robustness.

Main Results:

  • Successfully estimated bridge displacement using a fusion of acceleration and strain data.
  • Demonstrated the efficiency and robustness of the proposed reference-free approach.
  • Validated the method's performance through both numerical and experimental studies.

Conclusions:

  • The proposed reference-free method effectively estimates structural displacement.
  • Fusion of acceleration and strain measurements provides a viable alternative to traditional techniques.
  • The adaptive Kalman filter enhances the reliability of displacement estimation under varying conditions.