PDF
Full
Outline
Anisotropic complex flows are prevalent in various engineering applications, with transition phenomena occurring at low to moderate Reynolds numbers. Turbulence models based on Reynolds stress anisotropy are employed to handle these anisotropic complex flows. However, such models are based on fully developed turbulence assumption and lack the capability to predict transition phenomena. In recent times, these models are modified with transition models, which still exhibit poor robustness and practical inconvenience. To address this, this paper combines γ transition model with the SST turbulence model, forming the ASST-γ transition model to effectively deal with the transition phenomena in complex flow fields. To comprehensively evaluate the predictive ability of the ASST-γ model for transition, classical transition cases are numerically calculated for three main types of transition: bypass transition, natural transition, and separation-induced transition. The results indicate that the numerical calculations of the ASST-γ model for the three types of transition are in good agreement with experimental results. In particular, it demonstrates better predictive accuracy for the type of separation-induced transition compared to the SST-γ model. ASST-γ model is capable of predicting these three types of transitions, offering a promising solution to transition issues in complex flow fields.
PDF
156
75
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
