A photogrammetry based method for determination of 3D morphological indices of coarse aggregates

Öztürk, Hande İşık; Rashidzade, Isfandiyar

doi:10.1016/j.conbuildmat.2020.120794

Cited by 13 publications

(6 citation statements)

References 17 publications

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“…The approach adopted in our work is similar to the one presented by other authors dealing with rock grains. A number of them decided to glue the grain onto a thin pedestal, which allowed them to photograph almost the whole surface of the grain in one session [ 18 , 19 ]. In contrast, other authors placed the grains onto a flat surface, which resulted in an incomplete grain reconstruction that required fixing later during the postprocessing stage [ 17 , 20 ].…”

Section: Methodsmentioning

confidence: 99%

“…On the one hand, it can be used in order to create large-area terrain elevation models (Wang et al, 2020), to document civil engineering structures [ 12 ] and archeological sites [ 13 , 14 ], or to study rock masses [ 15 ]. On the other hand, it can be used for relatively small volume measurements [ 16 ], the reconstruction of the shape of individual grains [ 17 , 18 , 19 , 20 ], or for studying the roughness of rock joints [ 21 ]. Especially, grain-scale measurements are particularly interesting in the context of the presented research.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the accuracy of the volume measurements cannot be concluded from the presented results. Ozturk and Rashidzade compared the shape descriptors computed based on the 3D and 2D imaging methods [ 18 ]. Five different types of granular materials were investigated, including one lightweight aggregate (perlite).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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This paper presents a photogrammetry-based volume measurement framework for the particle density estimation of Lightweight expanded clay aggregate (LECA). The results are compared with computed tomography (CT) and Archimedes’ method measurements. All of the steps required in order to apply the proposed approach are explained. Next, we discuss how the interpretation of open pores affects the results of volume measurements. We propose to process the shapes obtained from different methods by applying an Ambient Occlusion algorithm with the same threshold, t = 0.175. The difference between the CT and SfM methods is less than 0.006 g/cm3, proving that the photogrammetry-based approach is accurate enough. The Archimedes’ method significantly overestimates the density of the particles. Nevertheless, its accuracy is acceptable for most engineering purposes. Additionally, we evaluate the accuracy of shape reconstruction (in terms of the Hausdorff distance). For 95% of the grain’s surface, the maximum error is between 0.073 mm and 0.129 mm (depending on the grain shape). The presented approach is helpful for measuring the particle density of porous aggregates. The proposed methodology can be utilized in order to estimate intergranular porosity, which is valuable information for the calibration of DEM models.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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“…The photogrammetry method was used to determine 3D morphological features of aggregates and compared with 2D methods. It was found that the photogrammetry method is more precise and less costly (Ozturk & Rashidzade, 2020). Fang et al (2021) used the digital microscope to obtain 3D contour data and fitted it with ellipsoid, and results showed that it is an effective model in characterizing aggregate angularity.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measuring aggregate morphologies based on three‐dimensional curvature analysis

Wang

Xiao

Cui

et al. 2021

Computer aided Civil Eng

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Digital image processing has become the mainstream method for measuring aggregate morphologies. However, the results of the image method are seriously affected by the laying style of aggregates. This study proposes a morphological analysis method based on three‐dimensional curvature analysis. The results show that the values of maximum curvature and standard deviation of Gaussian curvature on the aggregate surface can be used to represent the angularity and texture, respectively. The relative ranking of methods according to the accuracy places the curvature method as the largest and the image method as the least, with the profile method falling in between. The proposed method could provide a new possibility to accurately quantify the aggregate morphologies and contribute to the design of the mixture. Better quality of asphalt pavement could be obtained by taking into account the comprehensive morphologies reported in this study.

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Calibration‐free image analysis method for grain‐size distribution of small natural sand samples

Mélanie,

Armelle,

François

2024

Earth Surf Processes Landf

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Natural sand samples collected from bedload or suspension transport can be too small to be sieved. However, related transported mass to sediment size is crucial to calibrate sediment transport models. Image analysis technique can be an easy and cheap alternative. The present study proposes a general law valid for natural sand grains and small gravels that statistically relates elongation to flatness of particles and gives after some assumptions on grain shape and orientation of grains at the sieve mesh passage, the closest distribution of mass to sieving technique from images of grains given by a flatbed scanner. The proposed model is based on the hypothesis of an ellipsoidal grain shape and a preferential grain crossing aligned with the sieve diagonal. Any sand either homogeneous or heterogeneous from various origins (fluvial, marine and quarry) can be analysed directly without any further need for calibration.

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A photogrammetry based method for determination of 3D morphological indices of coarse aggregates

Cited by 13 publications

References 17 publications

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

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

Measuring aggregate morphologies based on three‐dimensional curvature analysis

Calibration‐free image analysis method for grain‐size distribution of small natural sand samples

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