TY - JOUR
T1 - Estimation of Impacts of Removing Arbitrarily Constrained Domain Details to the Analysis of Incompressible Fluid Flows
AU - Kai Zhang, Ming Li & Jingzhi Li
JO - Communications in Computational Physics
VL - 4
SP - 944
EP - 968
PY - 2018
DA - 2018/04
SN - 20
DO - http://doi.org/10.4208/cicp.071015.050216a
UR - https://global-sci.org/intro/article_detail/cicp/11178.html
KW - 
AB - <p style="text-align: justify;">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 <em>defeaturing errors</em>, 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.</p>