Comparison Between Differential and Variational Forms of an Energy-Based Hysteresis Model

被引:0
|
作者
Jacques, Kevin [1 ,3 ]
Geuzaine, Christophe [1 ]
Henrotte, Francois [2 ]
Gyselinck, Johan [3 ]
机构
[1] Univ Liege ULg, Dept Elect Engn & Comp Sci, ACE, Liege, Belgium
[2] Catholic Univ Louvain, iMMC MEMA, Louvain La Neuve, Belgium
[3] Univ Libre Bruxelles, BEAMS Dept, Brussels, Belgium
关键词
Finite element analysis; Magnetic hysteresis; FINITE-ELEMENT FORMULATIONS; FERROMAGNETIC HYSTERESIS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper compares two implementations of an energy-based ferromagnetic hysteresis model for finite element computations. The first implementation is an approximated explicit solution of the non-linear differential equation that is obtained from the energy balance of the magnetic material. The second implementation borrows from the theory of plasticity a variational formulation to solve exactly this differential equation. Both implementations are quantitatively compared in terms of accuracy and computational cost. The differential approach turns out to be much faster than the variational one and to give in most situations a result very close to that of the exact variational approach.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Energy-Based Hysteresis Model for Reinforced Concrete Beam-Column Connections
    Eom, Tae-Sung
    Hwang, Hyeon-Jong
    Park, Hong-Gun
    ACI STRUCTURAL JOURNAL, 2015, 112 (02) : 157 - 166
  • [22] A dynamical energy-based hysteresis model for iron loss calculation in laminated cores
    Steentjes, S.
    Henrotte, F.
    Geuzaine, C.
    Hameyer, K.
    INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2014, 27 (03) : 433 - 443
  • [23] Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
    Xie, Jianwen
    Zheng, Zilong
    Li, Ping
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 10441 - 10451
  • [24] Energy-based hysteresis and damage models for deteriorating systems
    Sucuoglu, H
    Erberik, A
    EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2004, 33 (01): : 69 - 88
  • [25] An enhanced Energy-Based hysteresis model for electrical steel sheets considering mechanical stress
    Zhao, Hanyu
    An, Yutao
    Liu, Jiabing
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2024, 606
  • [26] COMPARISON BETWEEN STRAIN-BASED AND ENERGY-BASED CREEP FAILURE SIMULATION
    Kim, Seung Jae
    Oh, Young Ryun
    Kim, Yun Jae
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, 2018, VOL 6A, 2019,
  • [27] An energy-based formulation for dynamic hysteresis and extra-losses
    Maloberti, O
    Mazauric, V
    Meunier, G
    Kedous-Lebouc, A
    Geoffroy, O
    IEEE TRANSACTIONS ON MAGNETICS, 2006, 42 (04) : 895 - 898
  • [28] On Forward and Inverse Energy-Based Magnetic Vector Hysteresis Operators
    Egger, Herbert
    Engertsberger, Felix
    Domenig, Lukas
    Roppert, Klaus
    Kaltenbacher, Manfred
    IEEE TRANSACTIONS ON MAGNETICS, 2025, 61 (04)
  • [29] An energy-based harmonic constitutive law for magnetic cores with hysteresis
    Hafner, Martin
    Henrotte, Francois
    Gracia, Mercedes Herranz
    Hameyer, Kay
    IEEE TRANSACTIONS ON MAGNETICS, 2008, 44 (06) : 922 - 925
  • [30] Representation of microstructural features and magnetic anisotropy of electrical steels in an energy-based vector hysteresis model
    Jacques, Kevin
    Steentjes, Simon
    Henrotte, Francois
    Geuzaine, Christophe
    Hameyer, Kay
    AIP ADVANCES, 2018, 8 (04):