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Characterization of the Interface Be...
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Peterson, Christian.
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Characterization of the Interface Between Detonation Product Gases and Ambient Air in an Explosion.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Characterization of the Interface Between Detonation Product Gases and Ambient Air in an Explosion./
Author:
Peterson, Christian.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:
172 p.
Notes:
Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Contained By:
Dissertations Abstracts International85-06B.
Subject:
Fluid mechanics. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30696228
ISBN:
9798381160376
Characterization of the Interface Between Detonation Product Gases and Ambient Air in an Explosion.
Peterson, Christian.
Characterization of the Interface Between Detonation Product Gases and Ambient Air in an Explosion.
- Ann Arbor : ProQuest Dissertations & Theses, 2024 - 172 p.
Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Thesis (Ph.D.)--New Mexico Institute of Mining and Technology, 2024.
This item must not be sold to any third party vendors.
Characterization of the interface between detonation product gases and ambient air in an explosion is a complicated task due to turbulent mixing and the inherently three-dimensional expansion of the interface. This study aimed to quantify the evolution of the interface complexity and progression to turbulence as a temporally-varying fractal. Laboratory and field scale experiments were conducted to identify characteristics of an explosively driven gas cloud such as the growth as a function of time and the width of the mixing region during expansion. Experiments were conducted using several explosives in primarily spherical geometries.In the laboratory-scale work, a shotgun primer was used to generate a repeatable explosively-driven gas cloud in varying confinement. High speed imaging captured the evolution of the product gas interface, and an automated image processing routine extracted and measured the mixing region width h. A comparison was made to a gas cloud radius based predictive model for the width of the mixing region, and a new scaling factor k was used to scale the equations for a non-zero start time. The fitting parameters c and k were found to vary with the degree of confinement as the experimental conditions diverged from the base assumptions of the model. No particular trends were found in the evolution of k, though for early times the geometric constraint c was seen to increase disproportionately with k as spacing increases. The model was also applied to mixing region growth on spherical explosive charges with known initial surface perturbations. It was found that the width of the mixing region is predicted by the analytical model at the initial stages of the blast, but transitions to non-linear turbulent mixing before the shock has detached from the fireball.In laboratory and field-scale experiments, the Hausdorff or fractal dimension of two-dimensional slices of the explosively driven gas cloud was measured from multiple angles. Gas cloud profiles representing the contact surface were extracted using automated image processing algorithms. The Hausdorff dimension was estimated using a box counting algorithm on the extracted contours. Experiments were performed with charge mass variations to identify scaling for the Hausdorff dimension, as well as other fireball characteristics such as radius. The fractal dimension was found to not scale with shock scaling laws once the shock has detached from the fireball. Taken as a function of mixing region width, the fractal dimension was seen to begin increasing as the validity of the analytical models ends, indicating an increase in the non-linear turbulence that drives complexity on the surface of the fireball.
ISBN: 9798381160376Subjects--Topical Terms:
528155
Fluid mechanics.
Subjects--Index Terms:
Spherical explosive
Characterization of the Interface Between Detonation Product Gases and Ambient Air in an Explosion.
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Characterization of the interface between detonation product gases and ambient air in an explosion is a complicated task due to turbulent mixing and the inherently three-dimensional expansion of the interface. This study aimed to quantify the evolution of the interface complexity and progression to turbulence as a temporally-varying fractal. Laboratory and field scale experiments were conducted to identify characteristics of an explosively driven gas cloud such as the growth as a function of time and the width of the mixing region during expansion. Experiments were conducted using several explosives in primarily spherical geometries.In the laboratory-scale work, a shotgun primer was used to generate a repeatable explosively-driven gas cloud in varying confinement. High speed imaging captured the evolution of the product gas interface, and an automated image processing routine extracted and measured the mixing region width h. A comparison was made to a gas cloud radius based predictive model for the width of the mixing region, and a new scaling factor k was used to scale the equations for a non-zero start time. The fitting parameters c and k were found to vary with the degree of confinement as the experimental conditions diverged from the base assumptions of the model. No particular trends were found in the evolution of k, though for early times the geometric constraint c was seen to increase disproportionately with k as spacing increases. The model was also applied to mixing region growth on spherical explosive charges with known initial surface perturbations. It was found that the width of the mixing region is predicted by the analytical model at the initial stages of the blast, but transitions to non-linear turbulent mixing before the shock has detached from the fireball.In laboratory and field-scale experiments, the Hausdorff or fractal dimension of two-dimensional slices of the explosively driven gas cloud was measured from multiple angles. Gas cloud profiles representing the contact surface were extracted using automated image processing algorithms. The Hausdorff dimension was estimated using a box counting algorithm on the extracted contours. Experiments were performed with charge mass variations to identify scaling for the Hausdorff dimension, as well as other fireball characteristics such as radius. The fractal dimension was found to not scale with shock scaling laws once the shock has detached from the fireball. Taken as a function of mixing region width, the fractal dimension was seen to begin increasing as the validity of the analytical models ends, indicating an increase in the non-linear turbulence that drives complexity on the surface of the fireball.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30696228
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