Turbulence is implicitly present or explicitly desired in many natural and industrial processes, such as, flow over solid surfaces, cloud formation, pollination, combustion, and chemical mixing. Hence, a better understanding of turbulence can aid in fuel saving by reducing drag in the case of flow over solid surfaces, namely, cars, airplanes, and ships. Furthermore, cloud formation models for refining weather modeling as well as the modeling of chemical mixing and combustion can be enhanced. However, there are different approaches to understand turbulence and in this thesis, turbulence is studied in terms of coherent structures...
|Qualification||Doctor of Philosophy|
|Award date||7 Jul 2017|
|Publication status||Published - 2017|