Uncertainty Analysis and Design Optimization of Gas-Condensate Fields

2017 ◽  
Author(s):  
Benson Lamidi Abdul-Latif ◽  
Ahmed Mohammed Fathi Elsharkawi ◽  
Tsikplornu Daniel Edem
Keyword(s):  
Uncertainty Analysis ◽  
Design Optimization ◽  
Gas Condensate ◽  
Analysis And Design

Review: Uncertainty Analysis and Design Optimisation of Gas-Condensate Fields

2017 ◽  
Author(s):  
Benson Lamidi Abdul-Latif ◽  
Syouma Hikmahtiar ◽  
Tsikplornu Daniel Edem
Keyword(s):  
Uncertainty Analysis ◽  
Gas Condensate ◽  
Design Optimisation ◽  
Analysis And Design

Uncertainty analysis and design optimization of solid rocket motors with finocyl grain

2020 ◽  
Vol 62 (6) ◽  
pp. 3521-3537
Author(s):  
Zhu Hao ◽  
Luo Haowen ◽  
Wang Pengcheng ◽  
Cai Guobiao ◽  
Hu Feng
Keyword(s):  
Uncertainty Analysis ◽  
Design Optimization ◽  
Solid Rocket Motors ◽  
Rocket Motors ◽  
Analysis And Design ◽  
Solid Rocket

Measurement uncertainty analysis and design of a broadband four‐port reflectometer

2017 ◽  
Vol 11 (15) ◽  
pp. 2162-2167 ◽  
Author(s):  
Szczepan Odrobina ◽  
Kamil Staszek ◽  
Krzysztof Wincza ◽  
Slawomir Gruszczynski
Keyword(s):  
Uncertainty Analysis ◽  
Measurement Uncertainty ◽  
Analysis And Design

scholarly journals An Arbitrary Hybrid Turbulence Modeling Approach for Efficient and Accurate Automotive Aerodynamic Analysis and Design Optimization

Fluids ◽  
2021 ◽  
Vol 6 (11) ◽  
pp. 407
Author(s):  
Saule Maulenkul ◽  
Kaiyrbek Yerzhanov ◽  
Azamat Kabidollayev ◽  
Bagdaulet Kamalov ◽  
Sagidolla Batay ◽  
...  
Keyword(s):  
Flow Field ◽  
Design Optimization ◽  
Automotive Industry ◽  
Turbulence Modeling ◽  
Turbulence Models ◽  
Analysis And Design ◽  
Eddy Simulation ◽  
Gradient Based ◽  
Automotive Aerodynamics ◽  
Single Flow

The demand in solving complex turbulent fluid flows has been growing rapidly in the automotive industry for the last decade as engineers strive to design better vehicles to improve drag coefficients, noise levels and drivability. This paper presents the implementation of an arbitrary hybrid turbulence modeling (AHTM) approach in OpenFOAM for the efficient simulation of common automotive aerodynamics with unsteady turbulent separated flows such as the Kelvin–Helmholtz effect, which can also be used as an efficient part of aerodynamic design optimization (ADO) tools. This AHTM approach is based on the concept of Very Large Eddy Simulation (VLES), which can arbitrarily combine RANS, URANS, LES and DNS turbulence models in a single flow field depending on the local mesh refinement. As a result, the design engineer can take advantage of this unique and highly flexible approach to tailor his grid according to his design and resolution requirements in different areas of the flow field over the car body without sacrificing accuracy and efficiency at the same time. This paper presents the details of the implementation and careful validation of the AHTM method using the standard benchmark case of the Ahmed body, in comparison with some other existing models, such as RANS, URANS, DES and LES, which shows VLES to be the most accurate among the five examined. Furthermore, the results of this study demonstrate that the AHTM approach has the flexibility, efficiency and accuracy to be integrated with ADO tools for engineering design in the automotive industry. The approach can also be used for the detailed study of highly complex turbulent phenomena such as the Kelvin–Helmholtz instability commonly found in automotive aerodynamics. Currently, the AHTM implementation is being integrated with the DAFoam for gradient-based multi-point ADO using an efficient adjoint solver based on a Sparse Nonlinear optimizer (SNOPT).

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