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Tariq D. Aslam

Researcher at Los Alamos National Laboratory

Publications -  90
Citations -  4667

Tariq D. Aslam is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Detonation & Explosive material. The author has an hindex of 22, co-authored 82 publications receiving 4152 citations. Previous affiliations of Tariq D. Aslam include University of Illinois at Urbana–Champaign.

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Proceedings ArticleDOI

Proton radiography of pbx 9502 detonation shock dynamics confinement sandwich test

TL;DR: In this paper, the effects of confinement of the high explosive PBX 9502 are examined in the LANL detonation confinement sandwich geometry, and the resulting detonation velocity and detonation shock shape are measured.
Journal ArticleDOI

Plate impact experiments on the TATB based explosive PBX 9502 at pressures near the Chapman-Jouguet state

TL;DR: A series of two-stage gus-gun driven plate impact experiments on PBX 9502 (95 wt.% tri-amino trinitro-benzene, 5 5.% Kel-F800 plastic binder) was completed in the 28-34 GPa pressure range.
Proceedings ArticleDOI

The dynamics of unsteady detonation with diffusion

TL;DR: In this paper, an unsteady detonation with diffusion is considered, where the authors consider a simpler set of model equations, similar to the inviscid reactive compressible fluid equations, but include diffusion (in the form of thermal/energy, momentum, and mass diffusion).
Proceedings ArticleDOI

An equation of state for polymethylpentene (TPX) including multi-shock response

TL;DR: In this article, the equation of state (EOS) of polymethylpentene (TPX) is examined through both single shock Hugoniot data as well as more recent multi-shock compression and release experiments.
Proceedings ArticleDOI

Highly Accurate Numerical Simulations of Pulsating One-Dimensional Detonations

TL;DR: In this article, a novel numerical scheme based on shock-fitting coupled with high order spatial and temporal discretization is applied to a classical unsteady detonation problem to generate solutions with unprecedented accuracy.