Narrow-bandpass Crank-Nicolson algorithm with enhanced absorbing performance for metamaterials

被引:0
|
作者
Wu, Peiyu [1 ]
Yue, Zhiyong [2 ]
Xie, Yongjun [1 ]
Jiang, Haolin [3 ]
Natsuki, Toshiaki [4 ,5 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Beijing Inst Astronaut Syst Engn, Beijing, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Elect & Informat Engn, Nanjing 210096, Peoples R China
[4] Shinshu Univ, Fac Text Sci & Technol, Ueda, Nagano, Japan
[5] Shinshu Univ, Inst Carbon Sci & Technol, Nagano, Japan
基金
中国国家自然科学基金;
关键词
complex envelope; Crank-Nicolson; finite-difference time domain; metamaterial; narrow bandpass; perfectly matched layer; TIME-DOMAIN METHOD; PERFECTLY MATCHED LAYER; ADI-FDTD METHOD; BOUNDARY-CONDITION; CN-PML; SCHEME; ABSORPTION;
D O I
10.1002/jnm.2966
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, an alternative algorithm for simulating metamaterials under a narrow bandpass condition is proposed. To calculate metamaterial regions with unique double negative property, the Drude model is used to solve the constitutive relationship. The effectiveness of the proposed algorithm over existing methods is demonstrated in terms of accuracy, efficiency, and simulation of absorption. For the numerical example, a metamaterial slab with a dipole antenna model is introduced. Compared with previous works, the numerical results indicate that the proposed algorithm is considerably efficient and simulates absorption. Most importantly, the algorithm can maintain stability and reduce simulation duration.
引用
收藏
页数:10
相关论文
共 45 条
  • [31] The effect of the discretization of the mixed boundary conditions on the numerical stability of the Crank-Nicolson algorithm of electrochemical kinetic simulations
    Bieniasz, LK
    Osterby, O
    Britz, D
    COMPUTERS & CHEMISTRY, 1997, 21 (06): : 391 - 401
  • [32] An adaptive algorithm for the Crank-Nicolson scheme applied to a time-dependent convection-diffusion problem
    Picasso, Marco
    Prachittham, Virabouth
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2009, 233 (04) : 1139 - 1154
  • [33] An Efficient Algorithm for Implementing the Crank-Nicolson Scheme in the Mixed Finite-Element Time-Domain Method
    Chen, Ru-Shan
    Du, Lei
    Ye, Zhenbao
    Yang, Yang
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2009, 57 (10) : 3216 - 3222
  • [34] Approximate Crank-Nicolson Algorithm with Higher-Order PML Implementation for Plasma Simulation in Open Region Problems
    Niu, Liqiang
    Xie, Yongjun
    Gao, Jie
    Wu, Peiyu
    Jiang, Haolin
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2021, 2021
  • [35] ELECTROCHEMICAL DIGITAL-SIMULATION - INCORPORATION OF THE CRANK-NICOLSON SCHEME AND N-POINT BOUNDARY EXPRESSION INTO THE RUDOLPH ALGORITHM
    BRITZ, D
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 1993, 352 (1-2): : 17 - 28
  • [36] One-Step Crank-Nicolson Direct-Splitting Algorithm with Enhanced Absorption to Evaluate Low-Pressure Discharge for Satellite Sensors in Outer Space
    Wang, Yangjing
    Xie, Yongjun
    Su, Pu
    Jiang, Haolin
    Wu, Peiyu
    SENSORS, 2023, 23 (03)
  • [37] A new parallel difference algorithm based on improved alternating segment Crank-Nicolson scheme for time fractional reaction-diffusion equation
    Yang, Xiaozhong
    Dang, Xu
    ADVANCES IN DIFFERENCE EQUATIONS, 2019, 2019 (01)
  • [38] ANew 2D Unconditionally Stable Finite-Difference Time-Domain Algorithm Based on the Crank-Nicolson Scheme
    Sadrpour, Seyed-Mojtaba
    Nayyeri, Vahid
    Soleimani, Mohammad
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL ELECTROMAGNETICS (ICCEM), 2016, : 55 - 57
  • [39] A POD-based reduced-order Crank-Nicolson finite volume element extrapolating algorithm for 2D Sobolev equations
    Luo, Zhendong
    Teng, Fei
    Chen, Jing
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2018, 146 : 118 - 133
  • [40] Sequential Kalman tuning of the t-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems
    Grumitt, Richard D. P.
    Karamanis, Minas
    Seljak, Uros
    INVERSE PROBLEMS, 2024, 40 (12)