Adaptive Mesh Refinement for High Accuracy Wall Loss Determination in Accelerating Cavity Design
This paper presents the improvement in wall loss determination when adaptive mesh refinement (AMR) methods are used with the parallel finite element eigensolver Omega3P. We show that significant reduction in the number of degrees of freedom (DOFs) as well as a faster rate of convergence can be achieved as compared with results from uniform mesh refinement in determining cavity wall loss to a desired accuracy. Test cases for which measurements are available will be examined, and comparison with uniform refinement results will be discussed.
- Research Organization:
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (US)
- DOE Contract Number:
- AC03-76SF00515
- OSTI ID:
- 827003
- Report Number(s):
- SLAC-PUB-10496; TRN: US0404737
- Resource Relation:
- Other Information: PBD: 14 Jun 2004
- Country of Publication:
- United States
- Language:
- English
Similar Records
Accurate Wall Loss Determination in Accelerator Design
Multi-Objective Adaptive Mesh Refinement Using Reinforcement Learning
A Parallel Ocean Model With Adaptive Mesh Refinement Capability For Global Ocean Prediction
Technical Report
·
Thu May 13 00:00:00 EDT 2004
·
OSTI ID:827003
Multi-Objective Adaptive Mesh Refinement Using Reinforcement Learning
Technical Report
·
Mon Jul 17 00:00:00 EDT 2023
·
OSTI ID:827003
A Parallel Ocean Model With Adaptive Mesh Refinement Capability For Global Ocean Prediction
Thesis/Dissertation
·
Thu Dec 01 00:00:00 EST 2005
·
OSTI ID:827003