The interest in synthetic methods relies in the fact that reliability of methodologies such as large eddy simulations (LES) or direct numerical simulations strongly depends on how well the developed turbulence is characterized, which generally leads to computationally expensive simulations. Turbulence generation methods allow the initialization and up-keeping of the velocity fluctuations field to promote the observed/needed turbulence in the flow. In this work the methodology known as ‘modified discretizing and synthesizing random flow generation’ (MDSRFG) jointly with a LES method is analyzed for its use in the study of tall building aerodynamics. A comparison with other generation techniques, that are closely related by their features and their conceptual origins, is presented with particular emphasis on the correct representation of the coherence of the velocity field. Particularly, an expression for the coherency function for the MDSRFG is derived. After an analysis and revision of these generation methodologies, the turbulent air flow around a rectangular prismatic model is computationally simulated. A comparison of the results obtained from different methods is performed. The resulting wind loads on the model, along with the statistical characteristics of the flow, show that the MDSRFG technique allows to represent a field of spatially correlated velocities correctly.
|Original language||English (US)|
|Number of pages||17|
|Journal||Journal of Wind Engineering and Industrial Aerodynamics|
|State||Published - Sep 2017|
Bibliographical noteFunding Information:
This research was partially funded by Consejo Nacional de Investigaciones Cieníficas y Técnicas (CONICET, Argentina), Secretaría de Ciencia y Tecnología de la Universidad Tecnológica Nacional Facultad Regional Resistencia (UTN-FRRe, Argentina, Grants PID 25/L057 (2012), PID 4061TC (2016)). Also, the authors would like to acknowledge the financial support from the Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT, Argentina, Grant PICT 2015 IB CONICET 2739).
© 2017 Elsevier Ltd
- Computational fluid dynamics
- Large eddy simulation
- Turbulence synthesis
- Wind loads
ASJC Scopus subject areas
- Civil and Structural Engineering
- Renewable Energy, Sustainability and the Environment
- Mechanical Engineering