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Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures.

Mehmet Sefa Orak1,2, Amir Nasrollahi3, Turgut Ozturk4

  • 1Laboratory for Nondestructive Evaluation and Structural Health Monitoring Studies, Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA. orakm@itu.edu.tr.

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Summary

This study introduces a smartphone-based, non-contact method using computer vision to measure thermal stress in beams and rails. The approach accurately estimates vibrational characteristics, potentially preventing structural issues like buckling.

Keywords:
computer visionneutral temperaturenondestructive testingsmartphone technologystructural health monitoringthermal stress

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Area of Science:

  • Structural Engineering
  • Mechanical Engineering
  • Applied Physics

Background:

  • In-situ measurement of thermal stress is crucial for preventing structural anomalies like buckling in beams and continuous welded rails.
  • Conventional methods for monitoring structural integrity can be invasive or limited in scope.

Purpose of the Study:

  • To propose and validate a non-contact monitoring approach for estimating beam vibrational characteristics under thermal stress.
  • To assess the feasibility of using smartphone technology combined with computer vision for structural health monitoring.

Main Methods:

  • Utilized a smartphone camera operating at high frame rates (>30 Hz) to capture beam vibrations.
  • Employed a computer vision algorithm to extract natural frequencies from captured video data.
  • Compared non-contact measurements with data from a conventional accelerometer on thin and thick beams.

Main Results:

  • Demonstrated that high-frame-rate smartphone video can capture beam vibrations effectively.
  • Achieved excellent agreement between the proposed non-contact method and traditional accelerometer measurements.
  • Successfully extracted the first mode of vibration for the tested beams.

Conclusions:

  • The smartphone-based, non-contact sensing approach is a viable alternative for measuring vibrational characteristics under thermal stress.
  • Future applications include developing a smartphone app for assessing axial stress and predicting neutral temperature in rails.
  • This technology holds potential for preventing thermal buckling in slender structures.