Bookcover of Computationally Intelligent CFD
Booktitle:

Computationally Intelligent CFD

Solving Potential, Viscous and Non-Newtonian Fluid Flow Problems Using Real-Coded Genetic Algorithms

LAP LAMBERT Academic Publishing (2010-09-16 )

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ISBN-13:

978-3-8433-5519-3

ISBN-10:
3843355193
EAN:
9783843355193
Book language:
English
Blurb/Shorttext:
In this work, the concept of evolutionary search is utilized as a versatile CFD solver. Specifically, a real-coded genetic algorithm, mimicking the natural evolution process, is used to minimize the residuals resulting from a finite difference discretization. While most gradient-based methods can suffer from divergence or slow convergence, the evolutionary solver's heuristic nature allows it to avoid solving the resulting systems of equations, thereby precluding many convergence difficulties and avoiding stiffness-related problems. Furthermore, these stochastic optimization techniques work around many stability issues in computational fluid dynamics. A number of new, unitary as well as binary, GA operators are proposed, explained and tested, along with the more traditional crossover and mutation operators. Also, new GA-customized refinement strategy and a GA-window approach are proposed which helps reduce time requirements. The GA is used to successfully solve problems involving a potential flow, a viscous flow via the Navier-Stokes equations, and a power-law non-Newtonian flow. The GA-solver is shown to be able to solve problems that the gradient-based method could not.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
http://www.lap-publishing.com/
By (author) :
Raed Bourisli
Number of pages:
224
Published on:
2010-09-16
Stock:
Available
Category:
Mechanical engineering, manufacturing technology
Price:
6214.72 руб
Keywords:
Fluid Mechanics, genetic algorithms, CFD, fluid flow, Optimization, Minimizing Residuals, Numerical Methods.

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