SHAPE OPTIMIZATION IN FLUID MECHANICS

By Bijan Mohammadi, Olivier Pironneau. 2004

293 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/e87d5c482ff9cb13ffbd8dc623014bc27bd017fb

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In Civil and Structural Engineering

In Computational Mechanics

Citations in the corpus

Topology optimization of heat conduction problems using the finite volume method (2006, background): “We note that optimization of fluid dynamic problems is a well-established research field, but the application of topology optimization to fluid problems is quite new, cf., Mohammadi and Pironneau (2004) .”
Incomplete sensitivities for 3D radial turbomachinery blade optimization (2008, methodology): “(22) also helps recovering the right level for the gradient [2].”
Aerodynamic Shape Optimization Using First and Second Order Adjoint and Direct Approaches (2008, methodology): “It is proved, [89, 90], using some simple cases, that this approach leads to sensitivity derivatives of at least the right sign.”
Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion (2015, methodology): “To obtain an automated process this three fundamental elements have to be linked together in a robust and efficient way [11,12].”
A data-assimilation method for Reynolds-averaged Navier–Stokes-driven mean flow reconstruction (2014, methodology): “The formulation of such a problem using a variational formulation has been thoroughly studied in the meteorological community (Le Dimet & Talagrand 1986; Courtier 1997; Mohammadi & Pironneau 2004).”
Optimization and Computational Fluid Dynamics (2008, methodology): “When using detailed chemistry, a higher resolution or more complex configurations can only be computed on parallel supercomputers [42].”
High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm (2015, methodology): “…has been widely applied in aerospace, automotive and naval applications, including structural optimization (Papadrakakis, Tsompanakis, and Lagaros 1999), computational fluid dynamics (CFD)-based design (Mohammadi and Pironneau 2004) and fluid–structure interaction (Jakobsson and Amoignon 2007).”
Optimum Shape Design for Unsteady Flows with Time-Accurate Continuous and Discrete Adjoint Methods (2007, methodology): “…have applied these advanced design algorithms, particularly the adjoint method, to numerous problems, ranging from the design of two-dimensional airfoils to full aircraft configurations to decrease drag, increase range, and reduce sonic boom [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11].”
Methods of Removing Heavy Metals from Industrial Wastewater (2015, methodology): “Effects of flow rate, temperature and voltage at different concentrations using two types of commercial membranes, using a laboratory ED cell, on lead removal were studied [38].”