2D and 3D Scans of Granular Rock Material Heaps and Calibration Models

Abstract The angle of repose (AoR) is critical for studying granular materials in mining, geotechnical engineering, pharmaceuticals, and agriculture. Accurate AoR measurements are essential for understanding material stability and movement. The descriptor includes photographs of 86 heaps of rock mat...

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Main Authors: Mario Klanfar, Tomislav Korman, Dubravko Domitrović, Vjekoslav Herceg
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-04862-8
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author Mario Klanfar
Tomislav Korman
Dubravko Domitrović
Vjekoslav Herceg
author_facet Mario Klanfar
Tomislav Korman
Dubravko Domitrović
Vjekoslav Herceg
author_sort Mario Klanfar
collection DOAJ
description Abstract The angle of repose (AoR) is critical for studying granular materials in mining, geotechnical engineering, pharmaceuticals, and agriculture. Accurate AoR measurements are essential for understanding material stability and movement. The descriptor includes photographs of 86 heaps of rock materials dolomite, quartz sand, marble, and gravel. In addition, photographs of 1 ideal cone and 4 CAD drawing models are provided. These images are processed using specialized software to create detailed 2D and 3D models of the heaps. The generated STL and point-cloud models can be used to calculate the AoR with high accuracy, taking into account the complex surface morphology that traditional methods may overlook. Additionally, these models enable standardized comparisons and can be used for calibration purposes. This data facilitates the development and validation of new AoR measurement methods, enhancing the reliability and consistency of granular material analysis.
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publishDate 2025-03-01
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series Scientific Data
spelling doaj-art-8d55e282df0d47a98fca13b3a9704f782025-08-20T02:10:16ZengNature PortfolioScientific Data2052-44632025-03-011211810.1038/s41597-025-04862-82D and 3D Scans of Granular Rock Material Heaps and Calibration ModelsMario Klanfar0Tomislav Korman1Dubravko Domitrović2Vjekoslav Herceg3Faculty of Mining, Geology and Petroleum Engineering, University of ZagrebFaculty of Mining, Geology and Petroleum Engineering, University of ZagrebFaculty of Mining, Geology and Petroleum Engineering, University of ZagrebFaculty of Mining, Geology and Petroleum Engineering, University of ZagrebAbstract The angle of repose (AoR) is critical for studying granular materials in mining, geotechnical engineering, pharmaceuticals, and agriculture. Accurate AoR measurements are essential for understanding material stability and movement. The descriptor includes photographs of 86 heaps of rock materials dolomite, quartz sand, marble, and gravel. In addition, photographs of 1 ideal cone and 4 CAD drawing models are provided. These images are processed using specialized software to create detailed 2D and 3D models of the heaps. The generated STL and point-cloud models can be used to calculate the AoR with high accuracy, taking into account the complex surface morphology that traditional methods may overlook. Additionally, these models enable standardized comparisons and can be used for calibration purposes. This data facilitates the development and validation of new AoR measurement methods, enhancing the reliability and consistency of granular material analysis.https://doi.org/10.1038/s41597-025-04862-8
spellingShingle Mario Klanfar
Tomislav Korman
Dubravko Domitrović
Vjekoslav Herceg
2D and 3D Scans of Granular Rock Material Heaps and Calibration Models
Scientific Data
title 2D and 3D Scans of Granular Rock Material Heaps and Calibration Models
title_full 2D and 3D Scans of Granular Rock Material Heaps and Calibration Models
title_fullStr 2D and 3D Scans of Granular Rock Material Heaps and Calibration Models
title_full_unstemmed 2D and 3D Scans of Granular Rock Material Heaps and Calibration Models
title_short 2D and 3D Scans of Granular Rock Material Heaps and Calibration Models
title_sort 2d and 3d scans of granular rock material heaps and calibration models
url https://doi.org/10.1038/s41597-025-04862-8
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AT vjekoslavherceg 2dand3dscansofgranularrockmaterialheapsandcalibrationmodels