Introduction of background knowledge regarding flow physics and CFD as well as detailed information about the use of AcuSolve and what specific options do.
This section on basics of fluid mechanics covers topics describing the fundamental concepts of fluid mechanics, such as
the concept of continuum, the governing equations of a fluid flow, definition of similitude and importance of non-dimensional
numbers, different types of flow models and boundary layer theory.
This section on turbulence covers the topics describing the physics of turbulence and turbulent flow. It also covers the
modeling of turbulence with brief descriptions of commonly used turbulence models.
This section on physics of turbulence introduces a brief history of turbulence and covers the theory behind turbulence
generation, turbulence transition and energy cascade in fluid flows.
This section covers the numerical modeling of turbulence by various turbulence models, near wall modeling and inlet turbulence
parameters specified for turbulence models.
Direct Numerical Simulation (DNS) solves the time dependent Navier-Stokes equations, resolving from the largest length
scale of a computational domain size to the smallest length scale of turbulence eddy (Kolmogorov length scale).
Three-dimensional industrial scale problems are concerned with the time averaged (mean) flow, not the instantaneous motion.
The preferred approach is to model turbulence using simplifying approximations, and not resolve it.
All of the previously described models are incapable of predicting boundary layer transition. To include the effects of
transition additional equations are necessary.
For internal wall bounded flows, proper mesh resolution is required in order to calculate the steep gradients of the velocity
components, turbulent kinetic energy, dissipation, as well as the temperature.
During the past decades turbulence models of various complexities have been developed. Turbulence models that employ the
most assumptions are typically the least demanding from a CPU cost standpoint.
This section on numerical approximation techniques covers topics, which describe the numerical modeling of the fluid flow
equations on a computational domain, such as spatial discretization using finite difference, finite element and finite volume
techniques, temporal discretization and solution methods.
This section on AcuSolve solver features covers the description of various solver features available in AcuSolve such as heat transfer, fluid structure interaction and turbulence modeling.
Collection of AcuSolve simulation cases for which results are compared against analytical or experimental results to demonstrate the accuracy
of AcuSolve results.
Introduction of background knowledge regarding flow physics and CFD as well as detailed information about the use of AcuSolve and what specific options do.
This section on turbulence covers the topics describing the physics of turbulence and turbulent flow. It also covers the
modeling of turbulence with brief descriptions of commonly used turbulence models.
This section covers the numerical modeling of turbulence by various turbulence models, near wall modeling and inlet turbulence
parameters specified for turbulence models.
In order to set the context for the modeling of turbulent flow it is essential to
understand why turbulent flow simulations are challenging.
First, examine the turbulence characteristic non-repetition. Figure 1 shows two snapshots of smoke
plumes from a burning incense stick. Both instantaneous plumes show the chaotic,
continuously evolving movement of the smoke. Due to the sensitivity of the smoke plumes to
surrounding conditions (temperature, density and cross flow velocity), the pattern of their
movement never repeats. Thus, prediction on such instantaneous turbulent smoke evolutions is
understood to be quite challenging.