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Published on: January 30, 2020
Photogrammetric Process to Monitor Stress Fields Inside Structural Systems
Leonardo M Honório1, Milena F Pinto2, Maicon J Hillesheim3
1Department of Electrical Engineering, UFJF, Juiz de Fora 36036-900, MG, Brazil.
This study introduces a photogrammetry-based method to measure real-time stress in structures. It uses surface displacement data and the Boundary Element Method (BEM) for accurate stress analysis.
Area of Science:
- Solid mechanics
- Photogrammetry
- Computational mechanics
Background:
- Accurate real-time stress analysis is crucial for structural integrity and safety.
- Traditional methods may have limitations in capturing dynamic stress distributions.
- Non-contact measurement techniques offer potential for improved stress evaluation.
Purpose of the Study:
- To develop and validate a novel methodology for estimating real-time stress distributions in solids and structures.
- To integrate photogrammetric techniques with numerical methods for comprehensive stress analysis.
- To provide a practical approach for monitoring structural health under load.
Main Methods:
- Photogrammetric capture of surface displacement fields from sequential images of deformed solids.
- Application of Poisson's Method to reconstruct 3D surfaces from point clouds using triangular meshes.
- Utilizing the Boundary Element Method (BEM) to calculate stress values based on measured displacements.
- Optimizing boundary displacement data to fit reconstructed surfaces for BEM analysis.
Main Results:
- Demonstrated the effectiveness of photogrammetry in capturing surface deformations.
- Successfully applied BEM with measured displacements to estimate stress distributions.
- Showcased the methodology's capability to handle large datasets from reconstructed surfaces.
- Validated the potential for real-time stress monitoring in various structural applications.
Conclusions:
- The proposed photogrammetry-integrated BEM approach is effective for real-time stress analysis.
- This method offers a powerful tool for structural health monitoring and performance evaluation.
- The technique has significant potential for application in engineering and materials science.
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