Large-eddy simulation (LES) has proven to be a computationally tractable approach to
simulate unsteady turbulent flows. However, prohibitive resolution requirements induced by …

大涡模拟方法(LES) 是研究复杂湍流问题的重要工具, 在航空航天, 湍流燃烧, 气动声学,
大气边界层等众多工程领域中具有广泛的应用前景. 大涡模拟方法采用粗网格计算大尺度上的 …

Spatial artificial neural network (ANN) models are developed for subgrid-scale (SGS) forces
in the large eddy simulation (LES) of turbulence. The input features are based on the first …

In this work, the subgrid-scale (SGS) stress and the SGS heat flux of compressible isotropic
turbulence are modeled by an artificial neural network (ANN) mixed model (ANNMM), which …

This study presents an evaluation of the error induced by neglecting the effect of air
compressibility in modelling Oscillating Water Column (OWC) wave energy converters. A …

Base bleed technology is a common strategy used for body drag reduction. This work
assessed the capacity of different RANS, DES and LES models to estimate the drag …

In this paper, the subgrid-scale (SGS) force and the divergence of SGS heat flux of
compressible isotropic turbulence are modeled directly by an artificial neural network (ANN) …

There is growing interest in discovering interpretable, closed‐form equations for subgrid‐
scale (SGS) closures/parameterizations of complex processes in Earth systems. Here, we …

Large eddy simulation (LES) is an important method to investigate different types of complex
turbulent flows, which has been widely applied to the turbulent flows in aerospace …

A subgrid-scale (SGS) model for large-eddy simulation (LES) of compressible isotropic
turbulence is constructed by using a data-driven framework. An artificial neural network …