Abstract. A new method for high-fidelity aeroelastic static analysis of composite laminated wings is proposed. The structural and the fluid-dynamic are coupled in a heterogeneous staggered process. Finite Element Method (FEM), Carrera Unified Formulation (CUF) Equivalent Plate Modelling (EPM) combined to model complex three-dimensional geometries bi-dimensional framework; Computational Fluid Dy...

In recent years, machine learning methods represented by deep neural networks (DNNs) have been a new paradigm of turbulence modeling. However, in the scenario high Reynolds numbers, there are still some bottlenecks, including lack high-fidelity data and stability problem coupling process models Reynolds-averaged Navier–Stokes (RANS) solvers. this paper, we propose an improved ensemble Kalman in...

The present paper introduces a parametric optimization of several Active Flow Control (AFC) parameters applied to NACA-8412 airfoil at single post-stall Angle Attack (AoA) 15∘ and Reynolds number Re = 68.5×103. aim is enhance the efficiency maximize its lift. boundary layer separation point was modified using Synthetic Jet Actuators (SJA), carried on by systematically changing pulsating frequen...

The Reynolds-averaged Navier-Stokes (RANS) equations for steady-state assessment of incompressible turbulent flows remain the workhorse practical computational fluid dynamics (CFD) applications. Consequently, improvements in speed or accuracy have potential to affect a diverse range We introduce machine learning framework surrogate modeling eddy viscosities RANS simulations, given initial condi...

A rapid predictive tool based on the linearised Reynolds-averaged Navier-Stokes equations is proposed in this work to investigate secondary currents generated by streamwise-independent surface topography modulations turbulent channel flow. The derived coupling momentum equation Spalart-Allmaras transport for eddy viscosity, using a nonlinear constitutive relation Reynolds stresses capture corre...

Abstract The paper explains further developments of a new concept called TNC (Thickness Noise Control) the application surface ventilation to reduction helicopter rotor low-frequency in-plane harmonic (LF-IPH) noise. method is based on introduction four cavities covered by perforated plates (connected low and high pressure reservoirs) positioned symmetrically at front rear extremities blade tip...

An optimization tool for offshore bottoming cycle and heat recovery steam generator (HRSG) design has previously been developed. The is based on empirical correlations to obtain hydraulic thermal quantities the HRSG. However, as these are experiments with typical onshore designs, they may not be valid compact designs encountered in HRSGs.In order extend validity range of tool, this work present...

For turbulent channel flow, pipe and zero-pressure gradient boundary layer, Heinz yielded recently analytical formulas for the eddy viscosity as a product of function (the wall-normal distance scaled in inner units) same outer units). By calculating eddy-viscosity diffusion term, an exact high-Reynolds-number equation with one production two dissipation terms is constructed those flows. One ter...

The present study focuses on the impact of eddy viscosity turbulence models benchmark INSEAN E779A marine propeller hydroacoustic performance under non-cavitating and open water conditions. In numerical calculations, Realisable k-epsilon (k-?), k-? Shear Stress Transport (k-? SST) Spalart-Allmaras models, which are widely used in hydrodynamic fields, selected. Hydroacoustic model is predicted w...

Machine learning (ML) is a rising and promising tool for Reynolds-Averaged Navier–Stokes (RANS) turbulence model developments, but its application to industrial flows hindered by the lack of explainability ML model. In this paper, two types methods improve are presented, namely intrinsic that reduce complexity post-hoc explain correlation between inputs outputs. The investigated ML-assisted fra...