3D tomographic reconstruction of irregular rough particles from interferometric images

Delestre, Barbara; Abad, Alexis; Talbi, Mohamed; Fromager, Michaël; Brunel, Marc

doi:10.1016/j.jqsrt.2022.108193

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Moreover, despite some successes, the authors stress on a possible direct interaction of the pumping beam with the nanoparticles self-organization. The second paper, by Brunel et al [56], proposes a model accounting for spherical aberrations introduced by the imaging lens of interferometric particle imaging (IPI) systems. Note that IPI systems where initially designed to characterize the size and velocity of flowing droplet or bubble [57][58][59].…”

Section: /8mentioning

confidence: 99%

Laser-light and interactions with particles (LIP), 2022

Onofri

Gouesbet

Kolwas

et al. 2023

Journal of Quantitative Spectroscopy and Radiative Transfer

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Section: /8mentioning

confidence: 99%

Laser-light and interactions with particles (LIP), 2022

Onofri

Gouesbet

Kolwas

et al. 2023

Journal of Quantitative Spectroscopy and Radiative Transfer

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“…In the field of particle shape construction methods, Delestre [12] utilised a digital micromirror device for 3D reconstruction of programmable rough particles using interferometric images. Although this technique is effective for reconstructing centrosymmetric and non-centrosymmetric rough particles, its precision is limited for accurately reconstructing particles with complex geometries.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Influence of Varied Particle Sizes on the Load-Bearing Properties of Arrester Bed Aggregates

Liu,

Bai

2024

Materials

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This study employs the discrete element method to investigate the influence of particle size on the load-bearing characteristics of aggregates, with a specific emphasis on the aggregates used in escape ramp arrester beds. This study utilises the log edge detection algorithm to introduce an innovative approach for modelling irregularly shaped pebbles, integrating their physical properties into a comprehensive discrete element model to enhance the accuracy and applicability of simulations involving such pebbles. Meticulous validation and parameter calibration (friction coefficient: 0.37, maximum RMSE: 3.43) confirm the accuracy of the simulations and facilitate an in-depth examination of the mechanical interactions between aggregate particles at macroscopic and microscopic scales. The findings reveal a significant relationship between the particle size and load-bearing capacity of aggregates. Smaller pebbles, which are more flexible under pressure, can be packed more densely, thereby improving the distribution of vertical forces and increasing the concentration of local stress. This enhancement substantially increases the overall load-bearing capacity of aggregates. These discoveries hold significant implications for engineering practices, particularly in the optimisation of safety for truck escape ramps and in identifying the ideal sizes of pebbles with irregular shapes.

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