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Title: Manufacturing Simulation Using Linear Solver and Contact in Adagio.


Abstract not provided.

; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the Seventh Biennial Tri-Lab Engineering Conference held May 7-10, 2007 in Albuquerque, NM.
Country of Publication:
United States

Citation Formats

Spencer, Benjamin, Dempsey, J. Franklin, and Pierson, Kendall H. Manufacturing Simulation Using Linear Solver and Contact in Adagio.. United States: N. p., 2007. Web.
Spencer, Benjamin, Dempsey, J. Franklin, & Pierson, Kendall H. Manufacturing Simulation Using Linear Solver and Contact in Adagio.. United States.
Spencer, Benjamin, Dempsey, J. Franklin, and Pierson, Kendall H. Tue . "Manufacturing Simulation Using Linear Solver and Contact in Adagio.". United States. doi:.
title = {Manufacturing Simulation Using Linear Solver and Contact in Adagio.},
author = {Spencer, Benjamin and Dempsey, J. Franklin and Pierson, Kendall H},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 01 00:00:00 EDT 2007},
month = {Tue May 01 00:00:00 EDT 2007}

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  • In recent years, SLAC's Advanced Computations Department (ACD) has developed the parallel 3D Finite Element electromagnetic time-domain code T3P. Higher-order Finite Element methods on conformal unstructured meshes and massively parallel processing allow unprecedented simulation accuracy for wakefield computations and simulations of transient effects in realistic accelerator structures. Applications include simulation of wakefield damping in the Compact Linear Collider (CLIC) power extraction and transfer structure (PETS).
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  • Element-by-element (EBE) iterative solution strategies have been shown to be effective for large-scale three-dimensional calculations. Significant gains over traditional sparse-matrix Gaussian elimination techniques are typically observed. In this paper we present an extension of these techniques to a wide class of contact and impact problems. Specifically, we develop an EBE strategy for the contact/impact algorithms contained in the implicit NIKE codes developed at Lawrence Livermore National Laboratory. Large-scale, vectorized computations on a CRAY X-MP/48 illustrate the effectiveness of the proposed procedures. 21 refs., 11 figs., 6 tabs.