Comparison of Fragmentation Measurements by Photographic and Image Analysis Techniques

Sudhakar, J.; Adhikari, G. R.; Gupta, Ratneshwer

doi:10.1007/s00603-005-0044-9

Cited by 32 publications

(11 citation statements)

References 8 publications

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“…Clasts were manually outlined from each mosaic in a drafting program to differentiate between clast and matrix, producing a black (clast) and white (matrix) image. Manual outlining was required because the gray scale separation between clasts and matrix was commonly too small to accurately distinguish them using image analysis software [e.g., Sudhakar et al , 2006]. The outlines were analyzed with NIH ImageJ for clast count, area, circularity, and boundary shape.…”

Section: Fractal Analysis Methodsmentioning

confidence: 99%

Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions

Roy

Johnson

Koons

et al. 2012

Geochem Geophys Geosyst

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[1] This paper examines the development of a subvolcanic magmatic breccia located along the contact of a granitic intrusion using fractal analysis and thermal-elastic modeling. The breccia grades from clastsupported, angular clasts adjacent to unfractured host rock to isolated, rounded clasts supported by the granitic matrix adjacent to the intrusion. Field observations point to an explosive breccia mechanism, and clast size distribution analysis yields fractal dimensions (D s > 3) that exceed the minimum value known to result from explosion (D s > 2.5). Field observations, clast size distribution data, clast circularity data, and boundary roughness fractal dimension data suggest that the clast sizes and shapes reflect post-brecciation modification by partial melting and thermal fracture. Numerical modeling is employed to explore the possible thermal-elastic effects on the size distribution of clasts. Instantaneous immersion is assumed for metasedimentary clasts of a fractal size distribution in a superheated granitic matrix for different matrix volume percentages. Thermal analysis is restricted to conductive heat transfer corrected for latent heat. Partial melting of metasedimentary clasts is an effective secondary modification process that was probably responsible for markedly altering the clast size distribution for clast populations adjacent to the intrusion. Diabase clasts experienced late-stage fracture due to the instantaneous thermal pulse in which angular clasts with high surface area to volume ratios were preferentially fractured, although this process does not appear to have markedly influenced the clast size distribution.

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Section: Fractal Analysis Methodsmentioning

confidence: 99%

Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions

Roy

Johnson

Koons

et al. 2012

Geochem Geophys Geosyst

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“…Some scholars compared fragmentation measurements using photographic and image analysis techniques on the actual images of fragments. They found that the photographic method was time-consuming, and manual editing was required to improve the accuracy of the image processing method [25]. The image analysis approaches could reach a satisfactory accuracy via comparisons with calculations from manual outlining and measurement [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Digital Image Processing Method for Characterization of Fractures, Fragments, and Particles of Soil/Rock-Like Materials

Zhou

et al. 2021

Mathematics

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Natural soil and rock materials and the associated artificial materials have cracks, fractures, or contacts and possibly produce rock fragments or particles during geological, environmental, and stress conditions. Based on color gradient distribution, a digital image processing method was proposed to automatically recognize the outlines of fractures, fragments, and particles. Then, the fracture network, block size distribution, and particle size distribution were quantitatively characterized by calculating the fractal dimension and equivalent diameter distribution curve. The proposed approach includes the following steps: production of an image matrix; calculation of the gradient magnitude matrix; recognition of the outlines of fractures, fragments, or particles; and characterization of the distribution of fractures, fragments, or particles. Case studies show that the fractal dimensions of cracks in the dry mud layer, ceramic panel, and natural rock mass are 1.4332, 1.3642, and 1.5991, respectively. The equivalent diameters of fragments of red sandstone, granite, and marble produced in quasi-static compression failures are mainly distributed in the ranges of 20–40 mm, 25–65 mm, and 10–35 mm, respectively. The fractal dimension of contacts between mineral particles and the distribution of the equivalent diameters of particles in rock are 1.6381 and 0.8–3.6 mm, respectively. The proposed approach provides a computerized method to characterize quantitatively and automatically the structure characteristics of soil/rock or soil/rock-like materials. By this approach, the remote sensing for characterization can be achieved.

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“…e fracture of intact rock mass is the main goal of bench blasting; therefore, macrofragmentation energy is the most typically used index to evaluate the utilization efficiency of explosive energy, which depends on the specific surface energy and the new surface area of rock fragments [7]. e surface area of fragments is difficult to measure; currently, it is generally assumed that the fragments are spherical or cubic particles [8], and the fragment size distribution (FSD) is obtained by a prediction algorithm [9] or photogrammetry [10]; then, the surface area can be calculated. Compared with the shape assumption, the specific surface area can better reflect the relationship between sieve size and rock fragment shape as well as yield more accurate measurements of macrofragmentation energy [11,12].…”

Section: Introductionmentioning

confidence: 99%

Effect of Water-Decked Blasting on Rock Fragmentation Energy

Xia

et al. 2020

Shock and Vibration

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Fragmentation energy ratio is an important index to evaluate whether an explosive is used efficiently. This paper discusses the effect of water-decked blasting on fragmentation energy based on theory and numerical simulation, and three blasting tests were performed to measure the actual fragmentation energy at a granite-based field. Results show that at the same charge amount, the maximum borehole pressure of water-decked blasting is much greater than that of normal blasting in theory, which facilitates rock breaking. In numerical simulation, water-decked blasting is more beneficial to the transmission of explosive energy; therefore, the damage distribution is more uniform and the damage level is higher. The specific surface area and fragment size distribution were obtained by three-dimensional laser scanning and image analysis in field tests; therefore, the fragmentation energy could be measured, which showed that the fragmentation energy could be increased by 10% in water-decked blasting. In addition, water-decked blasting can reduce fly rocks and ensure the safety of rock blasting.

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Comparison of Fragmentation Measurements by Photographic and Image Analysis Techniques

Cited by 32 publications

References 8 publications

Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions

Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions

Digital Image Processing Method for Characterization of Fractures, Fragments, and Particles of Soil/Rock-Like Materials

Effect of Water-Decked Blasting on Rock Fragmentation Energy

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