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Editorial

Special Issue: Applications of Computational Fluid Dynamics to the Built Environment

by
Jennifer Keenahan
School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, Ireland
Appl. Sci. 2023, 13(7), 4118; https://doi.org/10.3390/app13074118
Submission received: 16 March 2023 / Accepted: 20 March 2023 / Published: 23 March 2023
(This article belongs to the Special Issue Applications of Computational Fluid Dynamics to the Built Environment)
With ever-increasing computational power and the capability of numerical methods, it is now possible to accurately simulate flow conditions in a virtual environment. Computational fluid dynamics (CFD) is an advanced modeling technique that solves partial differential equations in continuum mechanics by using numerical techniques. The equations governing fluid motion are based on the fundamental physical principles of the conservation of mass, momentum, and energy.
CFD has been successfully applied in many areas of fluid mechanics, including heat and mass transfer, chemical reactions and combustion, the aerodynamics of cars and aircrafts, and pumps as well as turbines. Whiles its use is commonplace in the automotive and aerospace industries, its application in civil engineering contexts is much more novel. Potential applications include wind modeling and the dynamics responses of structures, ventilation fire, smoke flow and visibility, the dispersion of pollutants and effluents, and heat transfer in buildings. Traditionally, the interaction of these phenomena has been carried out experimentally, using scaled models and short calculations.
This Special Issue aimed to collect and present research on applications of CFD to the built environment.
A total of six papers (five research papers and one review paper) in various fields of civil engineering, including wind effects on bridges, wind energy harvesting, parametric design, façade design, thermal loads in dwellings, and the integration of CFD with BIM, are presented in this Special Issue.
Yao et al. [1] investigated the cold alleys between buildings as an energy source for passive cooling and ventilation, and their results indicated that significant reductions in annual cooling loads could be achieved. Lee et al. [2] proposed a five-step process of optimizing CFD modeling through integration with building information modeling (BIM), which has the potential to support the mainstreaming of CFD modeling in civil engineering consulting. McGuill [3] conducts a parametric study on wind pressure distributions on a façade element by using CFD modeling. Their results indicate that optimal façade design is based on placing equal importance on minimizing the force along a fin’s length and the moment acting at the fin–bracket connection. Kabosova et al. [4] investigated three complex architectural shapes in a data-driven wind-orientated case study on Stockholm. Their results highlight the importance of considering the wind environment in the early design stages of an architect’s work. Hemida et al. [5] investigate the flow pattern above the roof of a high-rise building by analyzing velocity and pressure measurements, including four wind directions and two different roof shapes. Zhang et al. [6] present a comparative review of wind tunnel tests and CFD modeling in the assessment of the wind–bridge issues of flutter, vortex-induced vibrations, and rain–wind-induced vibrations.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Yao, X.; Han, S.; Dewancker, B. Study on the Combined Effect of Multiple Passive Energy-Saving Methods for Rural Houses with Cold Alleys. Appl. Sci. 2021, 11, 5636. [Google Scholar] [CrossRef]
  2. Lee, M.; Park, G.; Jang, H.; Kim, C. Development of Building CFD Model Design Process Based on BIM. Appl. Sci. 2021, 11, 1252. [Google Scholar] [CrossRef]
  3. McGuill, C.; Keenahan, J. A Parametric Study of Wind Pressure Distribution on Façades Using Computational Fluid Dynamics. Appl. Sci. 2020, 10, 8627. [Google Scholar] [CrossRef]
  4. Kabošová, L.; Katunský, D.; Kmet, S. Wind-Based Parametric Design in the Changing Climate. Appl. Sci. 2020, 10, 8603. [Google Scholar] [CrossRef]
  5. Hemida, H.; Šarkić Glumac, A.; Vita, G.; Kostadinović Vranešević, K.; Höffer, R. On the Flow over High-rise Building for Wind Energy Harvesting: An Experimental Investigation of Wind Speed and Surface Pressure. Appl. Sci. 2020, 10, 5283. [Google Scholar] [CrossRef]
  6. Zhang, Y.; Cardiff, P.; Keenahan, J. Wind-Induced Phenomena in Long-Span Cable-Supported Bridges: A Comparative Review of Wind Tunnel Tests and Computational Fluid Dynamics Modelling. Appl. Sci. 2021, 11, 1642. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Keenahan, J. Special Issue: Applications of Computational Fluid Dynamics to the Built Environment. Appl. Sci. 2023, 13, 4118. https://doi.org/10.3390/app13074118

AMA Style

Keenahan J. Special Issue: Applications of Computational Fluid Dynamics to the Built Environment. Applied Sciences. 2023; 13(7):4118. https://doi.org/10.3390/app13074118

Chicago/Turabian Style

Keenahan, Jennifer. 2023. "Special Issue: Applications of Computational Fluid Dynamics to the Built Environment" Applied Sciences 13, no. 7: 4118. https://doi.org/10.3390/app13074118

APA Style

Keenahan, J. (2023). Special Issue: Applications of Computational Fluid Dynamics to the Built Environment. Applied Sciences, 13(7), 4118. https://doi.org/10.3390/app13074118

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