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Photogrammetry-Based Volume Measurement Framework for the Particle Density Estimation of LECA.

Karol Brzeziński1, Adam Duda2, Adam Styk3

  • 1Faculty of Civil Engineering, Warsaw University of Technology, Armii Ludowej Ave. 16, 00-637 Warsaw, Poland.

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Area of Science:

  • Materials Science
  • Geotechnical Engineering
  • Computational Imaging

Background:

  • Accurate particle density estimation is vital for characterizing porous aggregates like LECA.
  • Traditional methods (CT, Archimedes') have limitations in precision, cost, or applicability for porous materials.
  • Photogrammetry offers a potential non-destructive, cost-effective alternative for volume measurement.

Purpose of the Study:

  • To present and validate a photogrammetry-based framework for LECA particle density estimation.
  • To compare the accuracy of photogrammetry with Computed Tomography (CT) and Archimedes' method.
  • To investigate the impact of pore interpretation on volume measurements and propose a processing method.

Main Methods:

  • Development of a photogrammetry-based volume measurement framework.
  • Application of an Ambient Occlusion algorithm (t=0.175) for consistent shape processing.
  • Comparison of results with Computed Tomography (CT) and Archimedes' method.
  • Evaluation of shape reconstruction accuracy using Hausdorff distance.

Main Results:

  • The photogrammetry (Structure from Motion - SfM) method shows high accuracy, with density differences < 0.006 g/cm³ compared to CT.
  • Archimedes' method tends to overestimate particle density, though acceptable for some engineering applications.
  • Shape reconstruction accuracy is high, with maximum errors between 0.073 mm and 0.129 mm for 95% of the surface.

Conclusions:

  • The proposed photogrammetry framework is a valid and accurate method for LECA particle density estimation.
  • This approach provides valuable data for estimating intergranular porosity, essential for Discrete Element Method (DEM) model calibration.
  • The methodology offers a practical tool for analyzing porous aggregates in materials science and engineering.