Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion

Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion

The paper deals with numerical modeling of objects with a natural origin. The stochastic approach based on description using random variables allows processing such challenges. The Monte-Carlo methods are known a tool for simulations containing stochastic parameters however, they require significant...

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Main Authors: Sawicki Bartosz, Krupa Artur
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2019/06/itmconf_iccmae2018_01008.pdf
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spelling doaj-2f2160e627c340e09c1e62d37645dd252021-04-02T12:07:04ZengEDP SciencesITM Web of Conferences2271-20972019-01-01290100810.1051/itmconf/20192901008itmconf_iccmae2018_01008Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos ExpansionSawicki BartoszKrupa ArturThe paper deals with numerical modeling of objects with a natural origin. The stochastic approach based on description using random variables allows processing such challenges. The Monte-Carlo methods are known a tool for simulations containing stochastic parameters however, they require significant computational power to obtain stable results. Authors compare Monte- Carlo with more advanced Polynomial Chaos Expansion (PCE) method. Both statistical tools have been applied for simulation of the electric field used in ohmic heating of potato tuber probes. Results indicate that PCE is remarkably faster, however, it simplifies some probabilistic features of the solution.https://www.itm-conferences.org/articles/itmconf/pdf/2019/06/itmconf_iccmae2018_01008.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Sawicki Bartosz
Krupa Artur
spellingShingle Sawicki Bartosz
Krupa Artur
Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion
ITM Web of Conferences
author_facet Sawicki Bartosz
Krupa Artur
author_sort Sawicki Bartosz
title Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion
title_short Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion
title_full Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion
title_fullStr Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion
title_full_unstemmed Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion
title_sort stochastic modeling of electrical field in potato tuber using polynomial chaos expansion
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2019-01-01
description The paper deals with numerical modeling of objects with a natural origin. The stochastic approach based on description using random variables allows processing such challenges. The Monte-Carlo methods are known a tool for simulations containing stochastic parameters however, they require significant computational power to obtain stable results. Authors compare Monte- Carlo with more advanced Polynomial Chaos Expansion (PCE) method. Both statistical tools have been applied for simulation of the electric field used in ohmic heating of potato tuber probes. Results indicate that PCE is remarkably faster, however, it simplifies some probabilistic features of the solution.
url https://www.itm-conferences.org/articles/itmconf/pdf/2019/06/itmconf_iccmae2018_01008.pdf
work_keys_str_mv AT sawickibartosz stochasticmodelingofelectricalfieldinpotatotuberusingpolynomialchaosexpansion
AT krupaartur stochasticmodelingofelectricalfieldinpotatotuberusingpolynomialchaosexpansion
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