Adaptive Mesh Refinement Algorithms for Parallel Unstructured Finite Element Codes

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This project produced algorithms for and software implementations of adaptive mesh refinement (AMR) methods for solving practical solid and thermal mechanics problems on multiprocessor parallel computers using unstructured finite element meshes. The overall goal is to provide computational solutions that are accurate to some prescribed tolerance, and adaptivity is the correct path toward this goal. These new tools will enable analysts to conduct more reliable simulations at reduced cost, both in terms of analyst and computer time. Previous academic research in the field of adaptive mesh refinement has produced a voluminous literature focused on error estimators and demonstration problems; relatively ... continued below

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PDF-file: 27 pages; size: 0.7 Mbytes

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Parsons, I D & Solberg, J M February 3, 2006.

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Description

This project produced algorithms for and software implementations of adaptive mesh refinement (AMR) methods for solving practical solid and thermal mechanics problems on multiprocessor parallel computers using unstructured finite element meshes. The overall goal is to provide computational solutions that are accurate to some prescribed tolerance, and adaptivity is the correct path toward this goal. These new tools will enable analysts to conduct more reliable simulations at reduced cost, both in terms of analyst and computer time. Previous academic research in the field of adaptive mesh refinement has produced a voluminous literature focused on error estimators and demonstration problems; relatively little progress has been made on producing efficient implementations suitable for large-scale problem solving on state-of-the-art computer systems. Research issues that were considered include: effective error estimators for nonlinear structural mechanics; local meshing at irregular geometric boundaries; and constructing efficient software for parallel computing environments.

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PDF-file: 27 pages; size: 0.7 Mbytes

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  • Report No.: UCRL-TR-218661
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/899100 | External Link
  • Office of Scientific & Technical Information Report Number: 899100
  • Archival Resource Key: ark:/67531/metadc886464

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  • February 3, 2006

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

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  • Dec. 6, 2016, 6:48 p.m.

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Parsons, I D & Solberg, J M. Adaptive Mesh Refinement Algorithms for Parallel Unstructured Finite Element Codes, report, February 3, 2006; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc886464/: accessed January 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.