Impact fragmentation of high-velocity compact projectiles on thin plates: a physical and statistical characterization of fragment debris

• Published in: International journal of impact engineering Vol. 26; no. 1; pp. 249 - 262
• Main Authors: Grady, Dennis E., Winfree, Nancy A.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Oxford Elsevier Ltd 01.12.2001; Elsevier Science
• Subjects: Ballistics (projectiles; rockets); Exact sciences and technology; Fundamental areas of phenomenology (including applications); Physics; Solid dynamics (ballistics, collision, multibody system, stabilization...); Solid mechanics; Statistical analysis; Probabilistic approach; Multiphase flow; Thin plate; Thermomechanical properties; Momentum; Velocity distribution; Modeling; Penetration ballistics; Fragmentation; Projectile; Characterization; Statistical thermodynamics; High speed; Mechanical protection; Trajectory; Statistical mechanics; Mechanical shock
• ISSN: 0734-743X; 1879-3509
• DOI: 10.1016/S0734-743X(01)00085-9

The high-velocity impact of a projectile onto a structure results in the creation and energetic expulsion of fragments of the interacting materials. The nature of this fragment debris is of concern in certain applications. Although more broadly applicable, the present study is motivated by a need to characterize the size and velocity distribution of fragments generated by orbital debris impacting external components of spacecraft structure, such as shielding and radiators. In this effort, statistical relations are developed to predict size, momentum and trajectory distributions of the debris. The underlying physics applied are those used in the fields of impact mechanics, thermodynamics of shocks, and statistical fragmentation. Equations from impact mechanics lead to predictions for mass, global momentum, and excess energy of the fragment debris. Relations from shock thermodynamics are developed to partition the initial kinetic energy into thermal and mechanical energies, and therefore to predict mass fractions of solid, liquid and vapor components and the subsequent dispersing motion of this fragment debris. Statistical methods of the energy-based Maxwell-Boltzmann type are pursued to characterize the inherently stochastic fragmentation event, emphasizing the extremes of fragment size and velocity. Computational simulations of impact events and data from impact fragmentation experiments are exploited in validating the underlying theoretical assumptions and the resulting impact fragmentation model.