Advances in Multi-Physics Modeling for Parallel Finite Element Code Suite ACE3P

Journal Article · 21 November 2019 · IEEE Journal on Multiscale and Multiphysics Computational Techniques

DOI: https://doi.org/10.1109/JMMCT.2019.2954946 · OSTI ID:1579300

Xiao, Liling ^[1]; Ge, Lixin ^[1]; Li, Zenghai ^[1]; Ng, Cho -Kuen ^[1]

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1. SLAC National Accelerator Lab., Menlo Park, CA (United States)

SLAC developed ACE3P code suite is a comprehensive set of parallel finite-element codes for multi-physics modeling of particle accelerators. Running on massively parallel computer platforms for high fidelity and high accuracy simulation, ACE3P enables rapid virtual prototyping of accelerator and RF component design, optimization and analysis. Furthermore, recent advances of ACE3P have been focused on the implementation of advanced numerical algorithms, enhancement of multi-physics capabilities, and improvement of code performance on state-of-the-art high performance computing (HPC) platforms for large-scale RF modeling in accelerator applications and beyond. In this paper, we will present a nonlinear electromagnetic (EM) eigensolver for damping calculation of resonant modes for cavities coupled with waveguides, the thermal solver for accurate evaluation of heat loads in superconducting RF (SRF) cavity power coupler, the elastic solver for investigation of SRF cavity cryomodule (CM) bowing due to thermal effect, the frequency domain mechanical solver for studying SRF cavity mechanical oscillation modes, the particle tracking code for dark current simulation in SRF CM using a hybrid MPI+OpenMP parallel programing model, the time domain solver for high fidelity modeling of EM wave propagation for medical device in human body.

• Research Organization: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• Grant/Contract Number: AC02-05CH11231; AC02-76SF00515
• OSTI ID: 1579300
• Journal Information: IEEE Journal on Multiscale and Multiphysics Computational Techniques, Journal Name: IEEE Journal on Multiscale and Multiphysics Computational Techniques Vol. 4; ISSN 2379-8793
• Publisher: IEEECopyright Statement
• Country of Publication: United States
• Language: English