The basic problems of transition in both incompressible and compressible boundary layers
are reviewed. Flow structures in low-speed transitional and developed turbulent boundary …

基于深度神经网络DNN 构建了从层流流场无量纲速度梯度, 流向涡强度等物理量到横流转捩模
态下间歇因子间的映射关系, 获得一种新的数据驱动转捩模型. 通过将数据驱动转捩模型与SST k …

本文对横流转捩模型的研究进展进行了整理与回顾. 首先分类归纳了目前常用的多种边界层横流
不稳定诱导转捩判据, 详细分析其构建思路和判据特性, 并介绍判据相关研究工作 …

This study based on deep neural networks (DNN), produces a mapping from the physical
quantities such as dimensionless velocity gradient and streamwise vorticity of laminar flow …

The cross-flow perpendicular to the inviscid main flow in the boundary layer has potential
instability, causing the transition from laminar flow to turbulent flow. In order to explore the …

The complex vortex structure compressor leads to the problem that the transition model is
insufficient in predicting the flow instability of the compressor. In this paper, the rectangular …

Standard models such as HIFiRE-5 and HyTRV are used in the validation of hypersonic
three-dimensional boundary layer transition. Hypersonic crossflow transition correction is …