• DocumentCode
    1932213
  • Title

    RF Exposure Assessment of Children´s Organs using surrogate model built with electromagnetic solvers and Statistics

  • Author

    Joe, Wiart ; Pierric, Kersaudy ; Amal, Ghanmi ; Nadege, Varsier ; Abdelhamid, Hadjem ; Picon, Odile

  • Author_Institution
    WHIST Lab. Inst. Mines Telecom, Paris, France
  • fYear
    2015
  • fDate
    13-17 April 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The stochastic dosimetry is a novel approach combining numerical electromagnetic solver and statistics to manage the influence of variations of the inputs on the outputs of heavy dosimetric numerical calculations. In this paper, a surrogate model to heavy simulations is built and used to assess the RF exposure of children´s organs with a mobile located in a trouser pocket, with a device having 4 degrees of freedom for its location The surrogate model is built using a truncation of a Generalized Polynomial Chaos Expansion. The surrogate model, substituted to the FDTD method (Finite Difference in Time Domain method), is after that, with 10,000 estimations, used to characterize the statistical distribution of the organs exposure.
  • Keywords
    biological effects of microwaves; biological organs; dosimetry; electromagnetic wave propagation; finite difference time-domain analysis; statistical distributions; stochastic processes; FDTD method; Generalized Polynomial Chaos Expansion; RF exposure assessment; children organ exposure; finite difference in time domain method; numerical electromagnetic solver; statistical distribution; statistics; stochastic dosimetry; surrogate model; trouser pocket; Chaos; Computational modeling; Finite difference methods; Numerical models; Polynomials; Radio frequency; Time-domain analysis; FDTD; Polynomial Chaos; SAR; Surrogate model; dosimetry; radio Frequency; uncertainty; variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2015 9th European Conference on
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    7228706