logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Entropic Lattice Boltzmann Models For Fluid Dynamics Bsch Fabian

  • SKU: BELL-37289330
Entropic Lattice Boltzmann Models For Fluid Dynamics Bsch Fabian
$ 31.00 $ 45.00 (-31%)

4.4

72 reviews

Entropic Lattice Boltzmann Models For Fluid Dynamics Bsch Fabian instant download after payment.

Publisher: ETH Zurich
File Extension: PDF
File size: 27.84 MB
Pages: 201
Author: Bösch, Fabian
Language: English
Year: 2017

Product desciption

Entropic Lattice Boltzmann Models For Fluid Dynamics Bsch Fabian by Bösch, Fabian instant download after payment.

The main result of this thesis is the development of a new class of entropic
MRT models which combine the salient advantages from MRT and ELBM
while trying to circumvent their respective disadvantages. J.W. Gibbs’
seminal prescription for constructing optimal states by maximizing the entropy
under pertinent constraints is used to derive a novel lattice kinetic theory
and the the notion of modifying the viscosity to stabilize sub-grid simulations
is challenged in this kinetic framework. By exploiting the degrees of freedom
of MRT and by compliance to the discrete-time H-theorem, the advantages of
both MRT and ELBMcan be retained and the problems of parameter tuning
and fluctuating viscosity can be solved. The resulting models are accurate,
adaptive, parameter-free, efficient and, more importantly, very stable.

Related Products