Turbulent flow simulations based on the Reynolds-averaged Navier–Stokes (RANS)
equations continue to be the workhorse approach for industrial flow problems. However, due …

Traditional adjoint variables grow exponentially for turbulent chaotic flows. Most proposed
methods (for example. ensemble adjoint, shadow-based, and unstable-subspace-based …

Approximate Bayesian computation (ABC) is used to estimate unknown parameter values,
as well as their uncertainties, in Reynolds-averaged Navier–Stokes (RANS) simulations of …

Computational fluid dynamics based on the Reynolds-averaged Navier--Stokes (RANS)
equations provides a robust framework for analyzing complex flow phenomena at …

We use approximate Bayesian computation (ABC) to estimate unknown parameter values,
as well as their uncertainties, in Reynolds-averaged Navier-Stokes (RANS) simulations of …

Turbulent flows are present in a wide variety of real-world engineering problems, often by
design due to their favorable mixing characteristics. At the same time, however, these flows …

A major challenge in computational fluid dynamics (CFD) simulations of real-world flows is
the accurate assignment of boundary, initial, and geometric conditions, as well as fluid and …