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

Masters, N.; Anderson, Robert; Elliott, N. S.; Fisher, Aaron; Gunney, Brian T. N.; Koniges, Alice

doi:10.1088/1742-6596/112/2/022017

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…In work similar to this, Masters et al [5], are reconstructing interfaces to characterize fragments and debris in an adaptive mesh refinement simulation. While the goals are similar, the work by Masters feeds these interfaces back into an arbitrary Lagrangian-Eulerian simulation in order to more correctly model the fragments.…”

Section: Related Workmentioning

confidence: 97%

In situ fragment detection at scale

Fabian¹

2012

IEEE Symposium on Large Data Analysis and Visualization (LDAV)

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We explore the problem of characterizing fragments using Par-aView in situ with an explosion simulation. By running in situ we can see a much higher temporal view of the data as well as potentially compress the output to only those statistics about fragments we care about. However, the fragment finding must be able to scale as well as the simulation. In order to achieve the necessary scales, we borrow operations the simulation is already doing and take advantage of them within ParaView, demonstrating the resulting improvement in scaling performance.

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Section: Related Workmentioning

confidence: 97%

In situ fragment detection at scale

Fabian¹

2012

IEEE Symposium on Large Data Analysis and Visualization (LDAV)

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“…New collaborations that make use of this research are being explored as well. This research resulted in six refereed publications [19][20][21][22][23][24], two invited talks at international conferences, and four additional publications in progress [25][26][27][28].…”

Section: Discussionmentioning

confidence: 99%

A Predictive Model of Fragmentation using Adaptive Mesh Refinement and a Hierarchical Material Model

Koniges¹,

Masters²,

Fisher³

et al. 2009

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Fragmentation is a fundamental material process that naturally spans spatial scales from microscopic to macroscopic. We developed a mathematical framework using an innovative combination of hierarchical material modeling (HMM) and adaptive mesh refinement (AMR) to connect the continuum to microstructural regimes. This framework has been implemented in a new multi-physics, multi-scale, 3D simulation code, NIF ALE-AMR. New multi-material volume fraction and interface reconstruction algorithms were developed for this new code, which is leading the world effort in hydrodynamic simulations that combine AMR with ALE (Arbitrary Lagrangian-Eulerian) techniques. The interface reconstruction algorithm is also used to produce fragments following material failure. In general, the material strength and failure models have history vector components that must be advected along with other properties of the mesh during remap stage of the ALE hydrodynamics. The fragmentation models are validated against an electromagnetically driven expanding ring experiment and dedicated laser-based fragmentation experiments conducted at the Jupiter Laser Facility. As part of the exit plan, the NIF ALE-AMR code was applied to a number of fragmentation problems of interest to the National Ignition Facility (NIF). One example shows the added benefit of multi-material ALE-AMR that relaxes the requirement that material boundaries must be along mesh boundaries. I. Introduction/Background Great strides have been made in numerical modeling of problems in solid mechanics in the last 20 years. For example, Lagrangian simulations of automobile crashes with millions of zones on modest computer clusters are routinely used by industry to design safer automobiles. Despite these advances, computational solid mechanics (CSM) lags in comparison to computational fluid dynamics (CFD) in many areas. While CFD simulations that are uniformly second-order accurate in both time and space are routine, and the development of higher-order-accurate algorithms is an area of intense research, multi-material Eulerian CSM simulations are still only first-order accurate at material interfaces. In addition, there are entire areas of physical phenomena in solid mechanics that are poorly understood theoretically, and reliable simulation technology is virtually nonexistent. Fragmentation, for example, occurs at a wide range of temporal and spatial scales, from atomistic to cosmological, but the underlying phenomenology is poorly understood, and the simulation technology is primitive. Fragmentation is a phenomenon that is intrinsically multi-scale; small variations in the microstructure lead to a distribution of

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“…ALE-AMR uses a modified HEMP discretization [25][26][27] in evaluating the Lagrange update of the field variables. The interface reconstruction algorithm was originally developed to capture debris and shrapnel for high powered laser facilities and the details can be found in [28] . The VOF method and CALE93 (Tipton) algorithm [29] are used for the remapping of the Lagrangian grid.…”

Section: Lagrangian Dynamicsmentioning

confidence: 99%

Surface tension models for a multi-material ALE code with AMR

et al. 2017

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a b s t r a c tA number of surface tension models have been implemented in a 3D multi-physics multi-material code, ALE-AMR, which combines Arbitrary Lagrangian Eulerian (ALE) hydrodynamics with Adaptive Mesh Refinement (AMR). ALE-AMR is unique in its ability to model hot radiating plasmas, cold fragmenting solids, and most recently, the deformation of molten material. The surface tension models implemented include a diffuse interface approach with special numerical techniques to remove parasitic flow and a height function approach in conjunction with a volume-fraction interface reconstruction package. These surface tension models are benchmarked with a variety of test problems. Based on the results, the height function approach using volume fractions was chosen to simulate droplet dynamics associated with extreme ultraviolet (EUV) lithography.

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

Cited by 5 publications

References 8 publications

In situ fragment detection at scale

In situ fragment detection at scale

A Predictive Model of Fragmentation using Adaptive Mesh Refinement and a Hierarchical Material Model

Surface tension models for a multi-material ALE code with AMR

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