Building the simplest fluid simulation that still makes sense скачать в хорошем качестве

Building the simplest fluid simulation that still makes sense

A vivid introduction to fluid simulation. Topics covered: rarefied gas dynamics, continuum gas dynamics, fluid motion descriptions & coordinates (spatially fixed (Eulerian), material-fixed (Lagrangian), arbitrary), reducibility aspects, motivation on modeling unresolved flow structures, ensemble averages of microscopically and macroscopically varying data, usefulness of the modeling hierarchy, simplifying and decoupling the evolution equations, Navier-Stokes equations, compressible flow and the incompressible flow assumptions, and buoyancy-driven flow (Boussinesq approximation). Special thanks to my supporters: ----------------------------------------------------- AxisAngles Yuxuan Zhang Houston Lucas Patrick Gibson ... and all my patrons! If you like what you see and want to support my work, join my Patreon feed. I really appreciate it!   / braintruffle   Timetable: ----------------- 00:00 - What's going on 02:15 - Recap on continuous fluid fields 05:06 - Continuous evolution and local similarity 06:52 - Motion description and evolution equations 20:41 - Ensemble averages of macroscopic data 23:52 - Usefulness of the modeling hierarchy 25:13 - Playing with the equations 27:50 - Compressible and incompressible flow 32:39 - Buoyancy-driven flow 37:22 - Decoupling of the equations 39:30 - Thanks to my supporters and recap Selected Learning Resources: ------------------------------------------------ 02:15 - Continuous flow fields from rarefied gas dynamics and continuum gas dynamics: [1,2,3,4,5,6] 04:10 - Continuous perspective on the microscale; continuum micromechanics (to be discussed): [7] 06:52 - Fluid motion description and coordinates (spatially fixed (Eulerian), material-fixed (Lagrangian), arbitrary); evolution equations; material derivative; discretization aspects: [8,9,10] 22:05 - Ensemble averages of microscopic and macroscopic data; modeling unresolved flow structures; Kolmogorov microscales (to be discussed); turbulence modelling (to be discussed); 2d vs 3d turbulence (to be discussed): [1,11,12] 27:50 - Compressible flow; incompressible flow assumptions: [2] 32:39 - Buoyancy-driven flow (Boussinesq approximation); treating slight density variations: [13] 37:22 - Decoupling the equations: [2] References: [1] - Lecture Notes: from "http://volkov.eng.ua.edu/ME591_491_NE..." to "NEGD-06" [2] - Book: White, Frank M. "Fluid mechanics." Tata McGraw-Hill Education, 2010. [3] - Book: Anderson, John D. "Governing equations of fluid dynamics. Computational fluid dynamics." Springer, Berlin, Heidelberg, 1992. 15-51. [4] - Paper: Macrossan, M. N. "Scaling parameters for hypersonic flow: correlation of sphere drag data.", 2007. [5] - Lecture Notes: Cerfon, Antoine. "Mechanics (Classical and Quantum)." "https://www.math.nyu.edu/~cerfon/mech..." [6] - Lecture Notes: Kenkre, V. M.. "Statistical Mechanics." "https://www.unm.edu/~aierides/505/" specifically ".../bbgky2.pdf" & ".../bbgky3.pdf" [7] - Paper: Zaoui, André. "Continuum micromechanics: survey." Journal of Engineering Mechanics-ASCE 128.8 (2002): 808-816. [8] - Essay: Price, James F. "Lagrangian and eulerian representations of fluid flow: Kinematics and the equations of motion." MIT OpenCourseWare, 2006. [9] - Book: Donea, J., Huerta, A., Ponthot, J.-Ph. and Rodríguez-Ferran, A., "Arbitrary Lagrangian-Eulerian methods, The Encyclopedia of Computational Mechanics", Wiley, Vol. 1, Chapter 14, pp. 413-437, 2004 [10] - Book: Bennett, Andrew. "Lagrangian fluid dynamics." Cambridge University Press, 2006. [11] - Lecture Notes: Lermusiaux, P. "Numerical Fluid Mechanics." "https://ocw.mit.edu/courses/2-29-nume..." [12] - Paper: Boffetta, Guido, and Robert E. Ecke. "Two-dimensional turbulence." Annual review of fluid mechanics 44.1 (2012): 427-451. [13] - Paper: Mayeli, Peyman, and Gregory J. Sheard. "Buoyancy-driven flows beyond the Boussinesq approximation: A brief review." International Communications in Heat and Mass Transfer 125 (2021): 105316. Please note: -------------------- This series focuses specifically on the aspect of information reduction in dynamical systems. For clarity, I had to omit many exciting facets of the topics addressed in the video. So, the video itself is a reduction. :-) I hope you enjoyed this little braintruffle!