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

Details

• Personal Author:
  Bagci H ; Liu Y ; Michielssen E ; Sheng W ; Yucel AC ; Zhou C
• Description:
  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. [Description provided by NIOSH]
• Subjects:
  Electromagnetic Fields Mining Occupational Health Safety
• Keywords:
  3D Author Keywords: Electromagnetic Simulator Communications Equipment Communication Systems Computerized Simulation Data Processing Electrical Conductivity Electrical Equipment Electromagnetic Fields Electromagnetic Wave Transmission EMF EM Wave Propagation Equipment Reliability Equipment Testing Fast Multipole Method-fast Fourier Transform Technique FMMFFT Frequency Domain Analysis Information Systems Integral Equations Mathematical Models Mine Tunnels Mining Engineering Mining Equipment Simulation Methods Surface Properties Three Dimensional Tunneling Underground Mines Wave Propagation

  More +
• Series:
  Mining Publications
• ISSN:
  2379-8793
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Michigan ; OSHA Region 3 ; OSHA Region 5 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  3-15
• Volume:
  3
• NIOSHTIC Number:
  nn:20051631
• Citation:
  IEEE J Multiscale Multiphys Comput Tech 2018 Feb; 3:3-15
• Contact Point Address:
  Abdulkadir C. Yucel, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798
• Email:
  acyucel@ntu.edu.sg
• Federal Fiscal Year:
  2018
• Peer Reviewed:
  False
• Source Full Name:
  IEEE Journal on Multiscale and Multiphysics Computational Techniques
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:96c6f954433c931b68adf48c3949bc553d5190947419e45d1f0a11a6b3919416a234a530fe589d1a9474bd40b38d000b2bc8ae4ab59a301d1c4fac461a1f310d
• Download URL:
  https://stacks.cdc.gov/view/cdc/227674/cdc_227674_DS1.pdf
• File Type:
  [PDF - 1.18 MB ]