4.6 Article

Photogrammetric Method to Determine Physical Aperture and Roughness of a Rock Fracture

期刊

SENSORS
卷 22, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/s22114165

关键词

photogrammetry; physical aperture; roughness; JRC; camera; rock fracture

资金

  1. State Nuclear Waste Management Fund (VYR)
  2. Finnish Ministry of Economic Affairs and Employment on the Finnish Research Programme on Nuclear Waste Management of the Nuclear Energy Act [990/1987]

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Rock discontinuities have a significant impact on the mechanical and hydrological properties of rock masses. This study presents a method to digitally measure the physical aperture of a rock fracture using photogrammetry. The results show that low-cost cameras and smartphones can accurately measure the physical aperture and roughness of rock fractures. The selection of rasterization grid interval is crucial for accurate estimation.
Rock discontinuities play an important role in the behavior of rock masses and have a high impact on their mechanical and hydrological properties, such as strength and permeability. The surfaces roughness and physical aperture of rock joints are vital characteristics in joint shear strength and fluid flow properties. This study presents a method to digitally measure the physical aperture of a rock fracture digitized using photogrammetry. A 50 cm x 50 cm rock sample of Kuru grey granite with a thoroughgoing fracture was digitized. The data was collected using a high-resolution digital camera and four low-cost cameras. The aperture and surface roughness were measured, and the influence of the camera type and 3D model rasterization on the measurement results was quantified. The results showed that low-cost cameras and smartphones can be used for generating 3D models for accurate measurement of physical aperture and roughness of rock fractures. However, the selection of appropriate rasterization grid interval plays a key role in accurate estimations. For measuring the physical aperture from the photogrammetric 3D models, reducing rasterization grid interval results in less scattered measurement results and a small rasterization grid interval of 0.1 mm is recommended. For roughness measurements, increasing the grid interval results in smaller measurement errors, and therefore a larger rasterization grid interval of 0.5 mm is recommended for high-resolution smartphones and 1 mm for other low-cost cameras.

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