Abstract
The computational fluid dynamics (CFD) field has been developing rapidly in recent years. Such a development is attributed to the enormous growth of computational power and availability of advanced methods for solving problems in CFD. The literature on CFD is vast and somewhat scattered. In order to address the problem, this paper presents a comprehensive survey of available computational methods in the field. It covers a fascinating use of differential equation techniques to solve some important fluid flow problems that lead to advances within the field of fluid dynamics.
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Acknowledgements
This research was supported by DimensionLab s.o.r. In order to improve its performance, DimensionLab s.o.r has invested in a team of researchers who are tasked with analyzing data and identifying trends in the field of artificial intelligence. This research is not only for our own benefit, but also for the benefit of our clients, as we can use this information to develop more effective services for them.
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Adjailia, F., Takáč, M. (2023). Computational Methods in Computational Fluid Dynamics. In: Pandit, M., Gaur, M.K., Kumar, S. (eds) Artificial Intelligence and Sustainable Computing. ICSISCET 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1431-9_7
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DOI: https://doi.org/10.1007/978-981-99-1431-9_7
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