Nodal integral method for arbitrary hexahedral elements applied to 3D convection-diffusion equation

Ibrahim Jarrah, Rizwan-Uddin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, the applicability of nodal integral methods (NIM) is extended to arbitrary 3D geometries discritized using hexahedral elements. The iso-parametric mapping approach is used to transform the hexahedral elements to a simple cube where traditional NIM can be applied. The method developed in this paper is applied to steady-state, 3D convection-diffusion equation. The governing equation as well as the continuity conditions at the interfaces between the adjacent elements are transformed to the new coordinate system. The method developed here is validated by solving a problem using various distorted domains. The results show that the accuracy of the scheme depends on the degree of the distortion. In addition, extreme distortion of the elements reduces the order of accuracy from second to first order.

Original languageEnglish (US)
Title of host publicationInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
PublisherAmerican Nuclear Society
Pages1260-1269
Number of pages10
ISBN (Electronic)9780894487699
StatePublished - 2019
Event2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 - Portland, United States
Duration: Aug 25 2019Aug 29 2019

Publication series

NameInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019

Conference

Conference2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
Country/TerritoryUnited States
CityPortland
Period8/25/198/29/19

Keywords

  • Arbitrary geometry
  • Convection-diffusion
  • Hexahedral
  • NIM
  • Nodal integral methods

ASJC Scopus subject areas

  • Applied Mathematics
  • Nuclear Energy and Engineering

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