Automated mesh adaptation is known to be an efficient way to control discretization errors in
Computational Fluid Dynamics (CFD) simulations. It offers the added advantage that the …

Computational fluid dynamics (CFD) has become critical to the design and analysis of
aerospace vehicles. Parallel grid adaptation that resolves multiple scales with anisotropy is …

In this paper, we present h-and hp-adaptive strategies suited for the discontinuous Galerkin
formulation of the compressible laminar and Reynolds-averaged Navier–Stokes equations …

The quantification and control of discretization error is critical to obtaining reliable simulation
results. Adaptive mesh techniques have the potential to automate discretization error control …

Unstructured grid adaptation is a tool to control Computational Fluid Dynamics (CFD)
discretization error. However, adaptive grid techniques have made limited impact on …

Discretization error is a common source of uncertainty in computational fluid dynamics
(CFD) analyses. Traditional means of controlling discretization error through fixed-mesh …

The scope of this paper is to demonstrate the viability of unstructured mesh adaptation for
commercial aircraft high-lift prediction studies. It aims at analyzing the influence of different …

We present a goal-oriented error analysis for the calculation of low Reynolds steady
compressible flows with anisotropic mesh adaptation. The error analysis is of a priori type. Its …

Unstructured grid adaptation is a technology that holds the potential to improve the
automation and accuracy of computational fluid dynamics and other computational …

The lattice Boltzmann flux solver (LBFS) is a novel Boltzmann-typed solver under the finite
volume framework, which has many advantages over traditional lattice Boltzmann equation …