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Solution of Inverse Problems using Bayesian Approach with Application to Estimation of Material Parameters in Darcy Flow

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F17%3A00482833" target="_blank" >RIV/68145535:_____/17:00482833 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/17:10237745 RIV/61989100:27740/17:10237745

  • Result on the web

    <a href="http://advances.utc.sk/index.php/AEEE/article/view/2236" target="_blank" >http://advances.utc.sk/index.php/AEEE/article/view/2236</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15598/aeee.v15i2.2236" target="_blank" >10.15598/aeee.v15i2.2236</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Solution of Inverse Problems using Bayesian Approach with Application to Estimation of Material Parameters in Darcy Flow

  • Original language description

    Standard numerical methods for solving inverse problems in partial differential equations do not reflect a possible inaccuracy in observed data. However, in real engineering applications we cannot avoid uncertainties caused by measurement errors. In the Bayesian approach every unknown or inaccurate value is treated as a random variable. This paper presents an application of the Bayesian inverse approach to the reconstruction of a porosity field as a parameter of the Darcy flow problem. However, this framework can be applied to a wide range of problems that involve some amount of uncertainty. Here the material field is modeled as a Gaussian random field, which is expressed as a function of several random variables. The information about these random variables is given by the resulting posterior distribution, which is then studied using the Cross-Entropy method and samples are generated using the Metropolis-Hastings algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Advances in Electrical and Electronic Engineering

  • ISSN

    1336-1376

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    9

  • Pages from-to

    258-266

  • UT code for WoS article

    000409044400017

  • EID of the result in the Scopus database

    2-s2.0-85025665571