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Best Practices for Computational Fluid Dynamic Applications in Water Infrastructure.
- Source :
-
Journal of Environmental Engineering . Oct2023, Vol. 149 Issue 10, p1-18. 18p. - Publication Year :
- 2023
-
Abstract
- Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to calculate, analyze, and visualize fluid (liquids, gases, and dissolved gases) flows. This document provides general introductions to best practices for CFD modeling in water infrastructure for practitioners, particularly those new to CFD modeling, which is becoming a widely used tool in the design and retrofitting of water, wastewater, and stormwater infrastructure. The method serves as an alternative, or complement, to physical modeling. In recent years, CFD has often been used in evaluating and troubleshooting existing water systems as well as improving future designs. As with the applications in other fields, the popularity of CFD in the water industry has been propelled by a multitude of factors including, but not limited to, the maturity achieved by CFD techniques, the development of stable and reliable numerical schemes, and the ever-improving computer-aided design (CAD) and meshing technologies for real-world complex geometries. This has been accompanied by many commercial and open-source CFD packages that can be run on increasingly more powerful computing hardware. Despite the visible progress in the application of CFD in water infrastructure projects achieved to date, there are still many challenges that hinder the widespread use of CFD techniques in water treatment design. Perhaps more important is that many of these challenges may result in misuse of the tool with dire consequences. It is imperative that CFD practitioners appropriately apply this tool without overpromising capability or accuracy and that reviewers of CFD model results know what to look for in ensuring proper methods have been applied and that results are representative of reality. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07339372
- Volume :
- 149
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Journal of Environmental Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 169940732
- Full Text :
- https://doi.org/10.1061/JOEEDU.EEENG-7289