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Published on: August 3, 2018
Vertical dynamic deflection measurement in concrete beams with the Microsoft Kinect
Xiaojuan Qi1, Derek Lichti2, Mamdouh El-Badry3
1Department of Geomatics Engineering, University of Calgary, 2500 University Drive N.W., Calgary, Alberta T2N 1N4, Canada. xiqi@ucalgary.ca.
Researchers developed a Microsoft Kinect-based system to measure reinforced concrete beam deflection under cyclic loads. This system achieves submillimetre precision for vertical displacement, offering a low-cost solution for dynamic phenomena measurement.
Area of Science:
- Structural Engineering
- Robotics and Computer Vision
- Materials Science
Background:
- The Microsoft Kinect is a popular, low-cost RGB-D camera suitable for measuring dynamic phenomena.
- Accurate measurement of reinforced concrete beam deflection is crucial for structural health monitoring.
- Existing methods for measuring dynamic deflection can be costly or complex.
Purpose of the Study:
- To develop and validate a Microsoft Kinect-based system for measuring the deflection of reinforced concrete beams under cyclic loading.
- To assess the precision and accuracy of the Kinect-based system for dynamic displacement reconstruction.
- To explore novel image processing and reconstruction algorithms for depth imagery.
Main Methods:
- Development of new segmentation methods for object extraction from Kinect depth imagery.
- Implementation of vertical displacement reconstruction algorithms.
- Testing the system on reinforced concrete beams subjected to cyclic loads in laboratory conditions.
Main Results:
- The Kinect-based system successfully reconstructed time-dependent displacements of concrete beams.
- Vertical displacements were reconstructed with submillimetre precision.
- The system achieved milliHz-level accuracy in reconstructing displacement frequency.
Conclusions:
- A cost-effective Microsoft Kinect-based system can accurately measure dynamic deflection of reinforced concrete beams.
- The developed segmentation and reconstruction algorithms are effective for depth imagery analysis.
- This technology offers a promising approach for structural health monitoring and dynamic testing.
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