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Modélisation statistique de l'exposition humaine aux ondes radiofréquences.

Abstract : The purpose of this thesis is to deal with the problem of the management and the characterization of the variability of the human exposure to radio-frequency waves through the use of the numerical dosimetry. As a matter of fact, if the recent advances in the high performance computing domain led to reduce significantly the simulation duration for the evaluation of the human exposure, this computation of the specific absorption rate remains a time-consuming process. With the variability of the usage, this constraint does not allow the analysis of the influence of random input parameters on the exposure to be achieved with classical approaches such as Monte Carlo simulations. In this work, two approaches are proposed to address this problem. The first one is based on the use and the hybridization of construction methods of surrogate models in order to study the global influence of the input parameters. The second one aims at assessing efficiently the 95th-percentiles of the output distributions in a parcimonous way. It is based on the development of an adaptive and oriented methodology of design of experiments combined with the construction of surrogate models. In this manuscript, the proposed methods are compared and tested on analytical examples and then applicated to full-scale problems from the numerical dosimetry.
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Contributor : Pierric Kersaudy <>
Submitted on : Thursday, February 11, 2016 - 10:19:26 AM
Last modification on : Tuesday, February 2, 2021 - 2:26:02 PM
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  • HAL Id : tel-01271351, version 1


Pierric Kersaudy. Modélisation statistique de l'exposition humaine aux ondes radiofréquences.. Statistiques [stat]. UNIVERSITE PARIS-EST, 2015. Français. ⟨tel-01271351⟩



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