Parameter uncertainty quantification of components of a CAD mobile phone model

Runze Hu, Vikass Monebhurrun, Xiu Li, Fumie Costen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Numerical simulation plays an essential role in exploring and understanding physics for a real-life scenario. However, the uncertainty is generally inevitable in any numerical simulation process, e.g. model and parameter uncertainties, which potentially hinder the reliability of simulation results. For meaningful simulations, the possible uncertainty along with the simulation responses should be examined. Herein the focus is on the parameter uncertainty quantification in numerical dosimetry based on a computer-aided design of a mobile phone model. The impact of the uncertainty of different components of the mobile phone on the simulation responses is investigated. The sensitivity analysis is conducted to analyze the relative importance of each uncertain input parameter in the numerical simulations.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1719-1720
Number of pages2
ISBN (Electronic)9781728146706
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Singapore, Singapore
Duration: 4 Dec 202110 Dec 2021

Publication series

Name2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings

Conference

Conference2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021
Country/TerritorySingapore
CitySingapore
Period4/12/2110/12/21

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