Volume 20, Issue 4
Estimation of Impacts of Removing Arbitrarily Constrained Domain Details to the Analysis of Incompressible Fluid Flows

Kai Zhang, Ming Li & Jingzhi Li

Commun. Comput. Phys., 20 (2016), pp. 944-968.

Published online: 2018-04

Preview Purchase PDF 103 1020
Export citation
  • Abstract

Removing geometric details from the computational domain can signifi- cantly reduce the complexity of downstream task of meshing and simulation computation, and increase their stability. Proper estimation of the sensitivity analysis error induced by removing such domain details, called defeaturing errors, can ensure that the sensitivity analysis fidelity can still be met after simplification. In this paper, estimation of impacts of removing arbitrarily constrained domain details to the analysis of incompressible fluid flows is studied with applications to fast analysis of incompressible fluid flows in complex environments. The derived error estimator is applicable to geometric details constrained by either Dirichlet or Neumann boundary conditions, and has no special requirements on the outer boundary conditions. Extensive numerical examples were presented to demonstrate the effectiveness and efficiency of the proposed error estimator.

  • Keywords

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{CiCP-20-944, author = {}, title = {Estimation of Impacts of Removing Arbitrarily Constrained Domain Details to the Analysis of Incompressible Fluid Flows}, journal = {Communications in Computational Physics}, year = {2018}, volume = {20}, number = {4}, pages = {944--968}, abstract = {

Removing geometric details from the computational domain can signifi- cantly reduce the complexity of downstream task of meshing and simulation computation, and increase their stability. Proper estimation of the sensitivity analysis error induced by removing such domain details, called defeaturing errors, can ensure that the sensitivity analysis fidelity can still be met after simplification. In this paper, estimation of impacts of removing arbitrarily constrained domain details to the analysis of incompressible fluid flows is studied with applications to fast analysis of incompressible fluid flows in complex environments. The derived error estimator is applicable to geometric details constrained by either Dirichlet or Neumann boundary conditions, and has no special requirements on the outer boundary conditions. Extensive numerical examples were presented to demonstrate the effectiveness and efficiency of the proposed error estimator.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.071015.050216a}, url = {http://global-sci.org/intro/article_detail/cicp/11178.html} }
TY - JOUR T1 - Estimation of Impacts of Removing Arbitrarily Constrained Domain Details to the Analysis of Incompressible Fluid Flows JO - Communications in Computational Physics VL - 4 SP - 944 EP - 968 PY - 2018 DA - 2018/04 SN - 20 DO - http://dor.org/10.4208/cicp.071015.050216a UR - https://global-sci.org/intro/article_detail/cicp/11178.html KW - AB -

Removing geometric details from the computational domain can signifi- cantly reduce the complexity of downstream task of meshing and simulation computation, and increase their stability. Proper estimation of the sensitivity analysis error induced by removing such domain details, called defeaturing errors, can ensure that the sensitivity analysis fidelity can still be met after simplification. In this paper, estimation of impacts of removing arbitrarily constrained domain details to the analysis of incompressible fluid flows is studied with applications to fast analysis of incompressible fluid flows in complex environments. The derived error estimator is applicable to geometric details constrained by either Dirichlet or Neumann boundary conditions, and has no special requirements on the outer boundary conditions. Extensive numerical examples were presented to demonstrate the effectiveness and efficiency of the proposed error estimator.

Kai Zhang, Ming Li & Jingzhi Li. (2020). Estimation of Impacts of Removing Arbitrarily Constrained Domain Details to the Analysis of Incompressible Fluid Flows. Communications in Computational Physics. 20 (4). 944-968. doi:10.4208/cicp.071015.050216a
Copy to clipboard
The citation has been copied to your clipboard