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Dimensional Analysis Beyond the Pi Theorem (Paperback, Softcover reprint of the original 1st ed. 2017)
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Dimensional Analysis Beyond the Pi Theorem (Paperback, Softcover reprint of the original 1st ed. 2017)
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Dimensional Analysis and Physical Similarity are well understood
subjects, and the general concepts of dynamical similarity are
explained in this book. Our exposition is essentially different
from those available in the literature, although it follows the
general ideas known as Pi Theorem. There are many excellent books
that one can refer to; however, dimensional analysis goes beyond Pi
theorem, which is also known as Buckingham's Pi Theorem. Many
techniques via self-similar solutions can bound solutions to
problems that seem intractable. A time-developing phenomenon is
called self-similar if the spatial distributions of its properties
at different points in time can be obtained from one another by a
similarity transformation, and identifying one of the independent
variables as time. However, this is where Dimensional Analysis goes
beyond Pi Theorem into self-similarity, which has represented
progress for researchers. In recent years there has been a surge of
interest in self-similar solutions of the First and Second kind.
Such solutions are not newly discovered; they have been identified
and named by Zel'dovich, a famous Russian Mathematician in 1956.
They have been used in the context of a variety of problems, such
as shock waves in gas dynamics, and filtration through
elasto-plastic materials. Self-Similarity has simplified
computations and the representation of the properties of phenomena
under investigation. It handles experimental data, reduces what
would be a random cloud of empirical points to lie on a single
curve or surface, and constructs procedures that are self-similar.
Variables can be specifically chosen for the calculations.
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