Examination of Flow Sensitivities in Turbulence Model Validation Experiments

2020 ◽  
Author(s):  
Aldo Gargiulo ◽  
Colton Beardsley ◽  
Vidya Vishwanathan ◽  
Daniel J. Fritsch ◽  
Julie E. Duetsch-Patel ◽  
...  
Keyword(s):  
Model Validation ◽  
Turbulence Model ◽  
Validation Experiments

CFD Analysis of the BeVERLI Hill Turbulence Model Validation Experiments

2022 ◽  
Author(s):  
Thomas A. Ozoroski ◽  
Aldo Gargiulo ◽  
Julie E. Duetsch-Patel ◽  
Vignesh Sundarraj ◽  
Christopher J. Roy ◽  
...  
Keyword(s):  
Model Validation ◽  
Turbulence Model ◽  
Cfd Analysis ◽  
Validation Experiments

Optimal Selection of Model Validation Experiments: Guided by Coverage

2021 ◽  
Author(s):  
Robert Hällqvist ◽  
Robert Braun ◽  
Magnus Eek ◽  
Petter Krus
Keyword(s):  
Model Validation ◽  
Optimization Problem ◽  
Use Cases ◽  
Use Case ◽  
Design Decisions ◽  
Coverage Metrics ◽  
Simultaneous Identification ◽  
Validation Strategy ◽  
Selection Of ◽  
Validation Experiments

Abstract Modeling and Simulation (M&S) is seen as a means to mitigate the difficulties associated with increased system complexity, integration, and cross-couplings effects encountered during development of aircraft sub-systems. As a consequence, knowledge of model validity is necessary for taking robust and justified design decisions. This paper presents a method for using coverage metrics, to formulate an optimal model validation strategy. Three fundamentally different and industrially relevant use-cases are presented. The first use-case entails the successive identification of validation settings and the second considers the simultaneous identification of n validation settings. The latter of these two use-cases is finally expanded to incorporate a secondary model-based objective to the optimization problem in a third use-case. The approach presented is designed to be scalable and generic to models of industrially relevant complexity. As a result, selecting experiments for validation is done objectively with little required manual effort.

scholarly journals Methodology for Turbulence Model Validation: Application to Hypersonic Flows

2003 ◽  
Vol 40 (3) ◽  
pp. 313-325 ◽  
Author(s):  
Christopher J. Roy ◽  
Frederick G. Blottner
Keyword(s):  
Model Validation ◽  
Turbulence Model ◽  
Hypersonic Flows

Turbulence Model Validation in Vegetated Flows

2012 ◽  
pp. 329-335
Author(s):  
R. González-López ◽  
H. Ramírez-León ◽  
H. Barrios-Piña ◽  
C. Rodríguez-Cuevas
Keyword(s):  
Model Validation ◽  
Turbulence Model
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