• Open Access

Constrained multiobjective shape optimization of superconducting rf cavities considering robustness against geometric perturbations

Marija Kranjčević, Shahnam Gorgi Zadeh, Andreas Adelmann, Peter Arbenz, and Ursula van Rienen
Phys. Rev. Accel. Beams 22, 122001 – Published 23 December 2019

Abstract

High current storage rings, such as the Z-pole operating mode of the FCC-ee, require accelerating cavities that are optimized with respect to both the fundamental mode and the higher order modes. Furthermore, the cavity shape needs to be robust against geometric perturbations which could, for example, arise from manufacturing inaccuracies or harsh operating conditions at cryogenic temperatures. This leads to a constrained multiobjective shape optimization problem which is computationally expensive even for axisymmetric cavity shapes. In order to decrease the computation cost, a global sensitivity analysis is performed and its results are used to reduce the search space and redefine the objective functions. A massively parallel implementation of an evolutionary algorithm, combined with a fast axisymmetric Maxwell eigensolver and a frequency-tuning method is used to find an approximation of the Pareto front. The computed Pareto front approximation and a cavity shape with desired properties are shown. Further, the approach is generalized and applied to another type of cavity.

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  • Received 31 May 2019

DOI:https://doi.org/10.1103/PhysRevAccelBeams.22.122001

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Accelerators & Beams

Authors & Affiliations

Marija Kranjčević1,*, Shahnam Gorgi Zadeh2, Andreas Adelmann3, Peter Arbenz1,†, and Ursula van Rienen2,‡

  • 1Department of Computer Science, ETH Zurich, 8092 Zürich, Switzerland
  • 2Institute of General Electrical Engineering, University of Rostock, 18059 Rostock, Germany
  • 3Paul Scherrer Institut (PSI), 5232 Villigen, Switzerland

  • *Present address: Paul Scherrer Institut (PSI), 5232 Villigen, Switzerland; marija.kranjcevic@psi.ch
  • Also at IT4Innovations National Supercomputing Center, Ostrava, Czech Republic.
  • Also at Department Life, Light & Matter, University of Rostock, 18051 Rostock, Germany.

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Vol. 22, Iss. 12 — December 2019

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