The Progress of Fluid Flow Computer Modelling Using Open Source Software

Dear Colleagues,

Modern fluid flow problems (both fundamental and applied) produce increased demands for numerical algorithms and their computer implementations. These requirements are associated with the necessity to account for (a) multiple spatial and temporal scales in one problem (e.g., generation and evolution of hydrodynamic instabilities, mean flow and its pulsations, motion of different phases and components of medium, etc.), (b) the presence of different physical phenomena (convection–diffusion, buoyancy, compressibility, surface tension, physical and chemical transformations, etc.), (c) sensitivity of a problem statement to physical constants, numerical algorithm parameters, and input data, and the (d) data assimilation procedure.

Developers of cutting-edge numerical methods for such kinds of problems are traditionally favorable to open-source software (OSS), which gives them the flexibility to change and distribute the code of implementation. However, today, open-source software is not only a tool for scientific research—it provides a unified language between education, research, and industry, which are known today as the Knowledge Triangle. Successful application of novel models which are implemented in open-source libraries serves as an additional driver not only for those who conduct research or use its results but also for developers. The negative results of state-of-the-art model applications to challenging problems are also demanded since they show the direction for the future work of researchers and code developers.

This Special Issue aims to present some of the recent advances in the employment and development of open-source software for fluid flow phenomenon modeling. We invite authors to contribute research results that fall into (but are not limited to) one of the following topics:

• Development of a new open-source software numerical simulation tool which implements novel and efficient numerical methods or complicated physical model;
• New results of verification and/or validation of an existing open-source program;
• Results of open-source program application to a complex industrial problem.

Dr. Matvey Kraposhin
Prof. Dr. Tatiana G. Elizarova
Guest Editors

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