Probabilistic models for reactive behaviour in heterogeneous condensed phase media

被引:18
作者
Baer, M. R. [1 ]
Gartling, D. K. [1 ]
DesJardin, P. E. [2 ]
机构
[1] Sandia Natl Labs, Albuquerque, NM 87185 USA
[2] SUNY Buffalo, Dept Mech & Aerosp Engn, Buffalo, NY 14260 USA
基金
美国能源部;
关键词
heterogeneous combustion; explosives/propellants/pyrotechnics; modelling; pdf theory; DENSITY-FUNCTION APPROACH; SEPARATED 2-PHASE FLOWS; PDF METHODS; SIMULATION; TRANSITION;
D O I
10.1080/13647830.2011.606916
中图分类号
O414.1 [热力学];
学科分类号
摘要
This work presents statistically-based models to describe reactive behaviour in heterogeneous energetic materials. Mesoscale effects are incorporated in continuum-level reactive flow descriptions using probability density functions (pdfs) that are associated with thermodynamic and mechanical states. A generalised approach is presented that includes multimaterial behaviour by treating the volume fraction as a random kinematic variable. Model simplifications are then sought to reduce the complexity of the description without compromising the statistical approach. Reactive behaviour is first considered for non-deformable media having a random temperature field as an initial state. A pdf transport relationship is derived and an approximate moment approach is incorporated in finite element analysis to model an example application whereby a heated fragment impacts a reactive heterogeneous material which leads to a delayed cook-off event. Modelling is then extended to include deformation effects associated with shock loading of a heterogeneous medium whereby random variables of strain, strain-rate and temperature are considered. A demonstrative mesoscale simulation of a non-ideal explosive is discussed that illustrates the joint statistical nature of the strain and temperature fields during shock loading to motivate the probabilistic approach. This modelling is derived in a Lagrangian framework that can be incorporated in continuum-level shock physics analysis. Future work will consider particle-based methods for a numerical implementation of this modelling approach.
引用
收藏
页码:75 / 106
页数:32
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