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A Fast Matrix Compression Method for Large Scale Numerical Modelling of Rotationally Symmetric 3D Passive Structures in Fusion Devices

Author

Listed:
  • Francesca Cau

    (Fusion for Energy (F4E), Carrer de Josep Pla, 9, 08019 Barcelona, Spain)

  • Andrea Gaetano Chiariello

    (CREATE, DI, Università degli Studi della Campania “Luigi Vanvitelli”, Via Roma, 28, 80125 Aversa, Italy)

  • Guglielmo Rubinacci

    (CREATE, DIETI, Università degli Studi di Napoli Federico II, Via Claudio, 21, 80125 Napoli, Italy)

  • Valentino Scalera

    (Engineering Department, University of Naples Parthenope, 80143 Napoli, Italy)

  • Antonello Tamburrino

    (CREATE, DAEIMI, Università degli Studi di Cassino e del Lazio Meridionale, Via G. Di Biasio, 43, 03043 Cassino, Italy)

  • Salvatore Ventre

    (CREATE, DAEIMI, Università degli Studi di Cassino e del Lazio Meridionale, Via G. Di Biasio, 43, 03043 Cassino, Italy)

  • Fabio Villone

    (CREATE, DIETI, Università degli Studi di Napoli Federico II, Via Claudio, 21, 80125 Napoli, Italy)

Abstract

This paper illustrates the development of a recursive QR technique for the analysis of transient events, such as disruptions or scenario evolution, in fusion devices with three-dimensional conducting structures using an integral eddy current formulation. An integral formulation involves the solution, at each time step, of a large full linear system. For this reason, a direct solution is impractical in terms of time and memory consumption. Moreover, typical fusion devices show a symmetric/periodic structure. This can be properly exploited when the plasma and other sources possess the same symmetry/periodicity of the structure. Indeed, in this case, the computation can be reduced to only a single sector of the overall structure. In this work the periodicity and the symmetries are merged in the recursive QR technique, exhibiting a huge decrease in the computational cost. Finally, the proposed technique is applied to a realistic large-scale problem related to the International Thermonuclear Experimental Reactor (ITER).

Suggested Citation

  • Francesca Cau & Andrea Gaetano Chiariello & Guglielmo Rubinacci & Valentino Scalera & Antonello Tamburrino & Salvatore Ventre & Fabio Villone, 2022. "A Fast Matrix Compression Method for Large Scale Numerical Modelling of Rotationally Symmetric 3D Passive Structures in Fusion Devices," Energies, MDPI, vol. 15(9), pages 1-31, April.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3214-:d:804021
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    Cited by:

    1. Raffaele Albanese & Andrea Gaetano Chiariello & Raffaele Fresa & Antonio Iaiunese & Raffaele Martone & Pasquale Zumbolo, 2022. "Effectiveness of the Chebyshev Approximation in Magnetic Field Line Tracking," Energies, MDPI, vol. 15(20), pages 1-13, October.

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