A discrete adjoint framework on the basis of algorithmic differentiation (AD) is developed for
trailing-edge noise minimization. Turbulent flow through porous media is modeled based on …

In this paper, an unsteady aeroacoustic shape optimization tool is presented based on the
continuous adjoint method. Aeroacoustic noise radiated by bodies in unsteady flows can be …

A continuous adjoint-based aeroacoustic optimization, based on a hybrid model including
the Ffowcs Williams–Hawkings (FW–H) acoustic analogy, to account for the multidisciplinary …

This paper presents an efficient adjoint-based shape optimization framework for airframe
noise reduction in which algorithmic differentiation (AD) is applied to the open-source …

Many unsteady problems equilibrate to periodic behavior. For these problems the sensitivity
of periodic outputs to system parameters are often desired, and must be estimated from a …

Abstract<? Pub Inc> A high-order central essentially non-oscillatory (CENO) finite-volume
scheme in combination with a block-based adaptive mesh refinement (AMR) algorithm is …

Engine noise reduction using acoustic liner panels is an established technology in the
design of bypass turbofan engines. Using acoustic impedance modeling techniques in …

HIGH-ORDER discontinuous Galerkin (DG) methods have become a popular approach over
the last decade in solving a variety of computational fluid dynamics problems [1–6]. The …

The goal of this paper is to develop techniques to enable the use of aeroelastic constraints
within a high-fidelity design optimization framework. As a first-step towards this goal we have …

We present an efficient aerodynamic shape optimization framework for optimization
problems under unsteady flow conditions. The optimization framework consists of a parallel …