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Title: Discrete approximations of detonation flows with structured detonation reaction zones by discontinuous front models: A program burn algorithm based on detonation shock dynamics

Technical Report ·
DOI:https://doi.org/10.2172/354888· OSTI ID:354888
 [1];  [2];  [3]
  1. Los Alamos National Lab., NM (United States)
  2. Univ. of Illinois, Urbana, IL (United States). Center for Simulation of Advanced Rockets
  3. Univ. of Illinois, Urbana, IL (United States). Theoretical and Applied Mechanics

In the design of explosive systems the generic problem that one must consider is the propagation of a well-developed detonation wave sweeping through an explosive charge with a complex shape. At a given instant of time the lead detonation shock is a surface that occupies a region of the explosive and has a dimension that is characteristic of the explosive device, typically on the scale of meters. The detonation shock is powered by a detonation reaction zone, sitting immediately behind the shock, which is on the scale of 1 millimeter or less. Thus, the ratio of the reaction zone thickness to the device dimension is of the order of 1/1,000 or less. This scale disparity can lead to great difficulties in computing three-dimensional detonation dynamics. An attack on the dilemma for the computation of detonation systems has lead to the invention of sub-scale models for a propagating detonation front that they refer to herein as program burn models. The program burn model seeks not to resolve the fine scale of the reaction zone in the sense of a DNS simulation. The goal of a program burn simulation is to resolve the hydrodynamics in the inert product gases on a grid much coarser than that required to resolve a physical reaction zone. The authors first show that traditional program burn algorithms for detonation hydrocodes used for explosive design are inconsistent and yield incorrect shock dynamic behavior. To overcome these inconsistencies, they are developing a new class of program burn models based on detonation shock dynamic (DSD) theory. It is hoped that this new class will yield a consistent and robust algorithm which reflects the correct shock dynamic behavior.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
354888
Report Number(s):
LA-SUB-99-9-Pt.2; ON: DE99003504; TRN: AHC29924%%92
Resource Relation:
Other Information: PBD: 2 Feb 1999
Country of Publication:
United States
Language:
English