employee
Russian Federation
UDC 711.4
UDC 532.5
Computational Fluid Dynamics (CFD) has become firmly established in recent years as an indispensable instrument within the engineering repertoire. This growing adoption is driven by its capacity for the in-depth analysis of fluid and gas behavior through computational simulation, superseding the need for traditional laboratory experiments. Practitioners value CFD for two principal advantages: the rapid generation of reliable results and the method's inherent adaptability to a diverse spectrum of applied tasks. This article investigates the application of CFD within urban planning, with a particular focus on simulating wind loads in built environments. Beyond theoretical discussion, it presents empirical case studies from construction practice that demonstrate the high accuracy achievable through these simulations. The study examines the factors governing calculation quality and identifies specific challenges encountered during the design process. The core of the method lies in the numerical simulation of wind flow patterns. It enables engineers to compute critical environmental parameters, including temperature, velocity and direction, flow rates, density, and pressure. Crucially, CFD provides the unique capability to examine the internal dynamics of complex spatial configurations and predict wind behavior across urban landscapes. For urban planning, this is critically important, as the aerodynamic performance of a building directly determines its ultimate energy efficiency, safety, and occupant comfort. Thus, CFD transcends its origins as an abstract mathematical model to become a practical instrument that is now integral to the design of contemporary urban environments. It is noteworthy that CFD analysis finds application not only in urban planning but also in fields such as metallurgy, mechanical engineering, naval architecture, medicine, and numerous other disciplines. In conclusion, the study affirms the significance of CFD modeling as a vital tool for design engineers, contributing to both enhanced quality in construction projects and a more streamlined decision-making process.
urban design, information modeling, fluid and gas flow, airflow modeling, CFD analysis, computational fluid dynamics
1. Evgrafova A. V., Suhanovskiy A. N. Laboratornoe modelirovanie v zadachah gorodskoy klimatologii // Vestnik PGU. Fizika. 2020. №4. URL: https://cyberleninka.ru/article/n/laboratornoe-modelirovanie-v-zadachah-gorodskoy-klimatologii (data obrascheniya: 30.10.2025).
2. Myagkov M.S., Alekseeva L.I. Osobennosti vetrovogo rezhima tipovyh form gorodskoy zastroyki // AMIT. 2014. №1 (26). URL: https://cyberleninka.ru/article/n/osobennosti-vetrovogo-rezhima-tipovyh-form-gorodskoy-zastroyki (data obrascheniya: 01.11.2025)
3. Eremeev D.G., Tumanik G.N. Opredelenie vetrovogo komforta dlya zhiloy zastroyki na primere Novosibirska // Tvorchestvo i sovremennost'. 2018. №4 (8). URL: https://cyberleninka.ru/article/n/opredelenie-vetrovogo-komforta-dlya-zhiloy-zastroyki-na-primere-novosibirska (data obrascheniya: 12.10.2025).
4. Myagkov M.S., Gubernskiy Yu.D., Konova L.I., Lickevich V.K. Gorod, arhitektura, chelovek i klimat. – M.: «Arhitektura-S», 2007.
5. Olen'kov V.D. Uchet vetrovogo rezhima gorodskoy zastroyki pri gradostroitel'nom planirovanii s ispol'zovaniem tehnologiy komp'yuternogo modelirovaniya // Vestnik YuUrGU. Seriya: Stroitel'stvo i arhitektura. 2017. №4. URL: https://cyberleninka.ru/article/n/uchet-vetrovogo-rezhima-gorodskoy-zastroyki-pri-gradostroitelnom-planirovanii-s-ispolzovaniem-tehnologiy-kompyuternogo (data obrascheniya: 01.11.2025).
6. Noor Ahmed. Wind Tunnel Designs and Their Diverse Engineering Applications / Noor Ahmed. // IntechOpen. – 2013. – 230 r.
7. Karpovich E. A. Experimental Study of Aerodynamic Characteristics of a Boxplane WindTunnel Model / Karpovich E. A., Kochurova N. I., Kuznetsov A. V. // Russ. Aeronaut. – 2020. – 63. – 659. – R. 659-668.
8. Sheng Risheng. Wind Tunnel study of the flow around a wall-mounted square prism immersed in an atmospheric boundary-layer / Sheng Risheng, Perret Laurent, Demouge François, Calmet I, Courtine Sébastien // Oliveira Fabrice. – 2015.
9. Ming Gu. Wind tunnel test study on effects of chamfered corners on the aerodynamic characteristics of 2D rectangular prisms / Ming Gu. // Journal of Wind Engineering and Industrial Aerodynamics. – 2020. – 204. – 104305.
10. Yoshihide Tominaga. Wind tunnel measurement of three-dimensional turbulent flow structures around a building group: Impact of high-rise buildings on pedestrian / Yoshihide Tominaga. // Building and Environment. – 2021. – 206.
11. Gary N. A Primer on Direct Numerical Simulation of Turbulence –Methods, Procedures and Guidelines / Gary N. Coleman and Richard D. Sandberg // Technical Report AFM-09/01a. – 2010. – 21 r.
12. Hoyas S. Scaling of the velocity fluctuations in turbulent channels up to Re=2003 / Hoyas S., Jimenez J. // Annual Research Briefs, Center for Turbulence Research, NASA Ames/Stanford Univ. – 2005. – P 351–356.
