Video Experimental Relacionado
Updated: Sep 10, 2025
13:02
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
Published on: February 27, 2016
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Base de datos de turbulencias de alto número de Reynolds: AeroFlowData
Weiwei Zhang1,2,3, Xianglin Shan4,5,6, Yilang Liu4,5,6
1School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, China. aeroelastic@nwpu.edu.cn.
Scientific data
|August 27, 2025
Resumen
Se ha creado una nueva base de datos de turbulencias de alto número de Reynolds, AeroFlowData, para ayudar a la investigación científica. Proporciona datos extensos para aplicaciones de ingeniería complejas, superando las limitaciones de las bases de datos de turbulencias existentes.
Área de la Ciencia:
- Dinámica de fluidos
- Ciencias computacionales
Sus antecedentes:
- La simulación de la turbulencia es desafiada por las estructuras de múltiples escalas.
- Las bases de datos de turbulencias existentes carecen de datos de alto número de Reynolds para aplicaciones de ingeniería.
Objetivo del estudio:
- Establecer una base de datos de turbulencias de alto número de Reynolds compartida a nivel mundial.
- Apoyar la investigación en aprendizaje automático de turbulencias y flujos de ingeniería complejos.
Principales métodos:
- Simulaciones numéricas
- Mediciones experimentales
- Asimilación de datos
Principales resultados:
- Estableció AeroFlowData, una base de datos de turbulencias de alto número de Reynolds.
- La base de datos incluye casi 40 modelos en diversas aplicaciones.
- Contiene más de 500 condiciones de flujo y ~ 100TB de datos.
Conclusiones:
- AeroFlowData aborda la necesidad de datos de turbulencia de alto número de Reynolds.
- La base de datos facilita los avances en la investigación de la turbulencia y el aprendizaje automático.
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