DSD2DFLS 2010: Bdzil's 2010 DSD Code Base; Computing tb and Dn with Edits to Reduce the Noise in the Dn Field Near HE Boundaries
Abstract
The full levelset function code, DSD3D, is fully described in LA14336 (2007) [1]. This ASCIsupported, DSD code project was the last such LANL DSD code project that I was involved with before my retirement in 2007. My part in the project was to design and build the core DSD3D solver, which was to include a robust DSD boundary condition treatment. A robust boundary condition treatment was required, since for an important local “customer,” the only description of the explosives’ boundary was through volume fraction data. Given this requirement, the accuracy issues I had encountered with our “fasttube,” narrowband, DSD2D solver, and the difficulty we had building an efficient MPIparallel version of the narrowband DSD2D, I decided DSD3D should be built as a full levelset function code, using a totally local DSD boundary condition algorithm for the levelset function, phi, which did not rely on the gradient of the levelset function being one, grad(phi) = 1. The narrowband DSD2D solver was built on the assumption that grad(phi) could be driven to one, and near the boundaries of the explosive this condition was not being satisfied. Since the narrowband is typically no more than10*dx wide, narrowband methods are discrete methods with amore »
 Authors:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Publication Date:
 Research Org.:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Sponsoring Org.:
 USDOE National Nuclear Security Administration (NNSA)
 OSTI Identifier:
 1327987
 Report Number(s):
 LAUR1627206
 DOE Contract Number:
 AC5206NA25396
 Resource Type:
 Technical Report
 Country of Publication:
 United States
 Language:
 English
 Subject:
 97 MATHEMATICS AND COMPUTING
Citation Formats
Bdzil, John Bohdan. DSD2DFLS 2010: Bdzil's 2010 DSD Code Base; Computing tb and Dn with Edits to Reduce the Noise in the Dn Field Near HE Boundaries. United States: N. p., 2016.
Web. doi:10.2172/1327987.
Bdzil, John Bohdan. DSD2DFLS 2010: Bdzil's 2010 DSD Code Base; Computing tb and Dn with Edits to Reduce the Noise in the Dn Field Near HE Boundaries. United States. doi:10.2172/1327987.
Bdzil, John Bohdan. 2016.
"DSD2DFLS 2010: Bdzil's 2010 DSD Code Base; Computing tb and Dn with Edits to Reduce the Noise in the Dn Field Near HE Boundaries". United States.
doi:10.2172/1327987. https://www.osti.gov/servlets/purl/1327987.
@article{osti_1327987,
title = {DSD2DFLS 2010: Bdzil's 2010 DSD Code Base; Computing tb and Dn with Edits to Reduce the Noise in the Dn Field Near HE Boundaries},
author = {Bdzil, John Bohdan},
abstractNote = {The full levelset function code, DSD3D, is fully described in LA14336 (2007) [1]. This ASCIsupported, DSD code project was the last such LANL DSD code project that I was involved with before my retirement in 2007. My part in the project was to design and build the core DSD3D solver, which was to include a robust DSD boundary condition treatment. A robust boundary condition treatment was required, since for an important local “customer,” the only description of the explosives’ boundary was through volume fraction data. Given this requirement, the accuracy issues I had encountered with our “fasttube,” narrowband, DSD2D solver, and the difficulty we had building an efficient MPIparallel version of the narrowband DSD2D, I decided DSD3D should be built as a full levelset function code, using a totally local DSD boundary condition algorithm for the levelset function, phi, which did not rely on the gradient of the levelset function being one, grad(phi) = 1. The narrowband DSD2D solver was built on the assumption that grad(phi) could be driven to one, and near the boundaries of the explosive this condition was not being satisfied. Since the narrowband is typically no more than10*dx wide, narrowband methods are discrete methods with a fixed, nonresolvable error, where the error is related to the thickness of the band: the narrower the band the larger the errors. Such a solution represents a discrete approximation to the true solution and does not limit to the solution of the underlying PDEs under grid resolution.The full levelset function code, DSD3D, is fully described in LA14336 (2007) [1]. This ASCIsupported, DSD code project was the last such LANL DSD code project that I was involved with before my retirement in 2007. My part in the project was to design and build the core DSD3D solver, which was to include a robust DSD boundary condition treatment. A robust boundary condition treatment was required, since for an important local “customer,” the only description of the explosives’ boundary was through volume fraction data. Given this requirement, the accuracy issues I had encountered with our “fasttube,” narrowband, DSD2D solver, and the difficulty we had building an efficient MPIparallel version of the narrowband DSD2D, I decided DSD3D should be built as a full levelset function code, using a totally local DSD boundary condition algorithm for the levelset function, phi, which did not rely on the gradient of the levelset function being one, grad(phi) = 1. The narrowband DSD2D solver was built on the assumption that grad(phi) could be driven to one, and near the boundaries of the explosive this condition was not being satisfied. Since the narrowband is typically no more than10*dx wide, narrowband methods are discrete methods with a fixed, nonresolvable error, where the error is related to the thickness of the band: the narrower the band the larger the errors. Such a solution represents a discrete approximation to the true solution and does not limit to the solution of the underlying PDEs under grid resolution.},
doi = {10.2172/1327987},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 9
}

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