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Computational Fluid Dynamics: An Introduction for Engineers Hardcover – 26 Mar 1990


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Amazon.com: HASH(0x98611828) out of 5 stars 1 review
HASH(0x985b6390) out of 5 stars certainty and uncertainty in CFD 20 Mar. 2012
By Ali M. - Published on Amazon.com
Format: Hardcover
I am a mechanical engineer with a strong interest in the mathematical groundwork of computational fluid dynamics (CFD). I am revisiting this book after 19 years when I took it first in my graduate studies. There are many text books in the CFD field and this one is a special work in the sense of its treatment of some of the fundamental aspects of computational sciences realm. These are covered under three digressions in this book. This review is mainly focused on the highly thought provoking issues discussed in those sections of this book that have pointed me to a lot of references and inspiring ideas. This is what made me to come back to this book after so many years. From my perspective, the briefly discussed issues like phenomenology of turbulence and its attempted modeling in different CFD codes, the nature of the second law of thermodynamics, and the problematic events emerging from the translation of continuum to discrete formulations, are very enlightening, especially for those who would like to dig deeper. I rate this work very highly and recommend it to those who are approaching CFD from an inter-disciplinary background. May be Alexander Chorin said it best that to better understand CFD, we would need newer perspectives like we did in our transition from classical to quantum mechanics. (2014) I am updating this review after reading about Terence Tao's approach to making a computational point about the finite time blow up of the averaged 3D Navier Stokes Equation and alternative ways of addressing CMI Challenge problem of proving the regularity problem of this equation. In my view, what Terence might be pointing at is similar to the closing arguments in the 3rd digressions of this book, a numerical evolution of the NS equation over the computer (through the code space) vs. actual physical evolution of the problem and that the business of CFD lies in future! This is quite intriguing.
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