Computational Aerodynamics: Solvers and Shape Optimization

Computational Aerodynamics: Solvers and Shape Optimization

Since the development of the IAS computer built from 1942 to 1951 at the Institute of Advanced Studies under the supervision of John von Neumann, computer engineers’ push to make the hardware more practical and efficient has been driven and challenged by a handful of applied fields. While it is widely recognized that Aerodynamics played a key role in the development of modern scientific computi...

Multidisciplinary Shape Optimization in Aerodynamics and Electromagnetics Using Genetic Algorithms

A multiobjective multidisciplinary design optimization (MDO) of two-dimensional airfoil is presented. In this paper, an approximation for the Pareto set of optimal solutions is obtained by using a genetic algorithm (GA). The rst objective function is the drag coeecient. As a constraint, it is required that the lift coeecient is above a given value. The CFD analysis solver is based on the nite v...

Computational Aerodynamics and Supercomputers

2. Aerodynamic Simulation This paper reviews some of the progress in computational aerodynamics over the last decade and describes what remains to be done in the years ahead. The discussion includes a description of the Numerical Aerodynamic Simulation Program objectives, computational goals, and implementation plans.

Computational Aerodynamics and Artificial Intelligence

Computational aerodynamics: Advances and challenges

Computational aerodynamics, which complement more expensive empirical approaches, are critical for developing aerospace vehicles. During the past three decades, computational aerodynamics capability has improved remarkably, following advances in computer hardware and algorithm development. However, most of the fundamental computational capability realised in recent applications is derived from ...