Explosive fragmentation of materials

Ivanov, A. G.; Raevskii, V. A.; Vorontsova, O. S.

doi:10.1007/bf00755751

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Explosion breccias are formed by rapid localized volume expansion and resulting shockwave of released elastic energy, with fragmentation controlled predominantly by the power of the explosion and the bulk strength of the rock [ Schoutens , 1979; Grady and Kipp , 1987; Jebrak , 1997; Ivanov et al , 1995; Goto et al , 2001; Lorenz and Kurszlaukis , 2007; Nikolaevskiy et al , 2006; Sanchidrián et al , 2007]. The differential stresses produced by pressure fluctuations in the reservoir can be enough to explosively fracture the wall rock [ Legros and Kelfoun , 2000; Macías et al , 2003].…”

Section: Background On Quantitative Methods Of Breccia Classificationmentioning

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: Background On Quantitative Methods Of Breccia Classificationmentioning

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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“…The approach uses an energy balance between that available to perform work in the form of kinetic energy and that dissipated by the process of forming a failure surface [14]. Subsequently, the stored elastic strain energy was also considered [15,16]. The work of Mott emphasized the statistical nature of the fragmentation process and recent work has expanded the connection between the statistical and inertial aspects of fragmentation [17].…”

Section: Introductionmentioning

confidence: 99%

Fragmentation in biaxial tension

Campbell

Archbold

Hurricane

et al. 2007

Journal of Applied Physics

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We have carried out an experiment that places a ductile stainless steel in a state of biaxial tension at a high rate of strain. The loading of the ductile metal spherical cap is performed by the detonation of a high explosive layer with a conforming geometry to expand the metal radially outwards. Simulations of the loading and expansion of the metal predict strain rates that compare well with experimental observations. A high percentage of the HE loaded material was recovered through a soft capture process and characterization of the recovered fragments provided high quality data, including uniform strain prior to failure and fragment size. These data were used with a modified fragmentation model to determine a fragmentation energy. UNCLASSIFIED UNCLASSIFIED3

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