Literature DB >> 29726545

An FMM-FFT Accelerated SIE Simulator for Analyzing EM Wave Propagation in Mine Environments Loaded With Conductors.

Abdulkadir C Yucel1, Weitian Sheng2, Chenming Zhou3, Yang Liu2, Hakan Bagci4, Eric Michielssen2.   

Abstract

A fast and memory efficient three-dimensional full-wave simulator for analyzing electromagnetic (EM) wave propagation in electrically large and realistic mine tunnels/galleries loaded with conductors is proposed. The simulator relies on Muller and combined field surface integral equations (SIEs) to account for scattering from mine walls and conductors, respectively. During the iterative solution of the system of SIEs, the simulator uses a fast multipole method-fast Fourier transform (FMM-FFT) scheme to reduce CPU and memory requirements. The memory requirement is further reduced by compressing large data structures via singular value and Tucker decompositions. The efficiency, accuracy, and real-world applicability of the simulator are demonstrated through characterization of EM wave propagation in electrically large mine tunnels/galleries loaded with conducting cables and mine carts.

Entities:  

Keywords:  EM wave propagation; Electromagnetic (EM) simulator; fast multipole method–fast Fourier transform (FMM-FFT) technique; frequency domain analysis; integral equations; mine tunnels

Year:  2018        PMID: 29726545      PMCID: PMC5928803          DOI: 10.1109/JMMCT.2018.2802420

Source DB:  PubMed          Journal:  IEEE J Multiscale Multiphys Comput Tech        ISSN: 2379-8793


  2 in total

1.  Uncertainty quantification in transcranial magnetic stimulation via high-dimensional model representation.

Authors:  Luis J Gomez; Abdulkadir C Yücel; Luis Hernandez-Garcia; Stephan F Taylor; Eric Michielssen
Journal:  IEEE Trans Biomed Eng       Date:  2014-09-04       Impact factor: 4.538

2.  Ray Tracing and Modal Methods for Modeling Radio Propagation in Tunnels With Rough Walls.

Authors:  Chenming Zhou
Journal:  IEEE Trans Antennas Propag       Date:  2017-05       Impact factor: 4.388

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.