Interface reconstruction in two- and three-dimensional arbitrary Lagrangian-Eulerian adaptive mesh refinement simulations

Modeling of high power laser and ignition facilities requires new techniques because of the higher energies and higher operational costs. We report on the development and application of a new interface reconstruction algorithm for chamber modeling code that combines ALE (Arbitrary Lagrangian Euleria...

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Bibliographic Details
Published in:Journal of physics. Conference series 2008-05, Vol.112 (2), p.022017
Main Authors: Masters, N D, Anderson, R W, Elliott, N S, Fisher, A C, Gunney, B T, Koniges, A E
Format: Article
Language:English
Subjects:
ALE (numerical method)
Algorithms
Droplets
Finite element method
Grid refinement (mathematics)
High power lasers
Ignition
Interfaces
Modelling
Physics
Reconstruction
Shrapnel
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Summary:Modeling of high power laser and ignition facilities requires new techniques because of the higher energies and higher operational costs. We report on the development and application of a new interface reconstruction algorithm for chamber modeling code that combines ALE (Arbitrary Lagrangian Eulerian) techniques with AMR (Adaptive Mesh Refinement). The code is used for the simulation of complex target elements in the National Ignition Facility (NIF) and other similar facilities. The interface reconstruction scheme is required to adequately describe the debris/shrapnel (including fragments or droplets) resulting from energized materials that could affect optics or diagnostic sensors. Traditional ICF modeling codes that choose to implement ALE + AMR techniques will also benefit from this new scheme. The ALE formulation requires material interfaces (including those of generated particles or droplets) to be tracked. We present the interface reconstruction scheme developed for NIF's ALE-AMR and discuss how it is affected by adaptive mesh refinement and the ALE mesh. Results of the code are shown for NIF and OMEGA target configurations.
ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/112/2/022017