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Applied Shape Optimization for Fluids (Hardcover, 2nd Revised edition)
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Applied Shape Optimization for Fluids (Hardcover, 2nd Revised edition)
Series: Numerical Mathematics and Scientific Computation
Expected to ship within 12 - 17 working days
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Computational fluid dynamics (CFD) and optimal shape design (OSD)
are of practical importance for many engineering applications - the
aeronautic, automobile, and nuclear industries are all major users
of these technologies.
Giving the state of the art in shape optimization for an extended
range of applications, this new edition explains the equations
needed to understand OSD problems for fluids (Euler and Navier
Strokes, but also those for microfluids) and covers numerical
simulation techniques. Automatic differentiation, approximate
gradients, unstructured mesh adaptation, multi-model
configurations, and time-dependent problems are introduced,
illustrating how these techniques are implemented within the
industrial environments of the aerospace and automobile industries.
With the dramatic increase in computing power since the first
edition, methods that were previously unfeasible have begun giving
results. The book remains primarily one on differential shape
optimization, but the coverage of evolutionary algorithms,
topological optimization methods, and level set algortihms has been
expanded so that each of these methods is now treated in a separate
chapter.
Presenting a global view of the field with simple mathematical
explanations, coding tips and tricks, analytical and numerical
tests, and exhaustive referencing, the book will be essential
reading for engineers interested in the implementation and solution
of optimization problems. Whether using commercial packages or
in-house solvers, or a graduate or researcher in aerospace or
mechanical engineering, fluid dynamics, or CFD, the second edition
will help the reader understand and solve design problems in this
exciting area of research and development, and will prove
especially useful in showing how to apply the methodology to
practical problems.
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