STRUCT: A Second-Generation URANS Approach for Effective Design of Advanced Systems

This work presents the recently developed STRUCT hybrid turbulence model and assesses its potential to address the poor grid consistency and limited engineering applicability typical of hybrid models. Renouncing the ability to consistently bridge RANS, LES and DNS based on the computational grid siz...

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Bibliographic Details
Main Authors: Baglietto, Emilio (Contributor), Lenci, Giancarlo (Author), Concu, Davide (Author)
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering (Contributor)
Format: Article
Language:English
Published: ASME International, 2018-07-19T16:43:01Z.
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Online Access:Get fulltext
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100 1 0 |a Baglietto, Emilio  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Nuclear Science and Engineering  |e contributor 
100 1 0 |a Baglietto, Emilio  |e contributor 
700 1 0 |a Lenci, Giancarlo  |e author 
700 1 0 |a Concu, Davide  |e author 
245 0 0 |a STRUCT: A Second-Generation URANS Approach for Effective Design of Advanced Systems 
260 |b ASME International,   |c 2018-07-19T16:43:01Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/117004 
520 |a This work presents the recently developed STRUCT hybrid turbulence model and assesses its potential to address the poor grid consistency and limited engineering applicability typical of hybrid models. Renouncing the ability to consistently bridge RANS, LES and DNS based on the computational grid size, we aim at addressing the engineering design needs with a different mindset. We opt to leverage the robustness and computational efficiency of URANS in all nearly homogeneous flow regions while extending it to locally resolve complex flow structures, where the concept of Reynolds averaging is poorly applicable. The proposed approach is best characterized as a second generation URANS closure, which triggers controlled resolution of turbulence inside selected flow regions. The resolution is controlled by a single-point parameter representing the turbulent timescale separation, which quantitatively identifies topological flow structures of interest. The STRUCT approach demonstrates LES-like capabilities on much coarser grids, and consistently increases the accuracy of the predictions from the baseline URANS at increasing grid finesse. The encouraging results show the potential to support effective design application through resolution of complex flow structures while controlling the computational cost. The ultimate objective is to continue improving the robustness and computational efficiency while further assessing the accuracy and range of applicability. 
655 7 |a Article 
773 |t Volume 1B, Symposia: Fluid Measurement and Instrumentation; Fluid Dynamics of Wind Energy; Renewable and Sustainable Energy Conversion; Energy and Process Engineering; Microfluidics and Nanofluidics; Development and Applications in Computational Fluid Dynamics; DNS/LES and Hybrid RANS/LES Methods