Turbulent flows of practical relevance are often characterized by high Reynolds numbers
and solid boundaries. The need to account for flow separation seen in such flows requires …

The wake interference within the offshore wind farms, especially with the tandem
arrangement scenario, affects the designed total power output. Also, the six degrees of …

The lattice Boltzmann method (LBM) stands apart from conventional macroscopic
approaches due to its low numerical dissipation and reduced computational cost, attributed …

View Video Presentation: https://doi. org/10.2514/6.2022-0462. vid The Field Inversion and
Machine Learning (FIML) approach is leveraged to obtain a closed-form correction for the …

Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent
flow simulations, in particular for reliable flow predictions under conditions where validation …

Purpose This paper aims to improve Reynolds-averaged Navier Stokes (RANS) turbulence
models using a data-driven approach based on machine learning (ML). A special focus is …

The perspective of the Aerospace industry, both civil and military, is constantly evolving in
response to international crises, environmental footprint, sustainability expectations etc. The …

The field inversion and machine learning (FIML) approach is leveraged to obtain a closed-
form correction for the Spalart–Allmaras turbulence model to improve predictions of …

Представлена программная платформа для суперкомпьютерного моделирования,
основанная на новом технологическом подходе, существенно упрощающем …

HPC modeling of gas dynamic and aerodynamic problems is very important for the
development of aircrafts, missiles and space vehicles and requires a lot of processor time …