Numerical Simulation of Spire-Induced Wake Dynamics: Impact of Computational Mesh Resolution on Vertical and Lateral Velocity Field Prediction in CFD Analysis
Abstract
The accurate prediction of wake dynamics behind spire-generated atmospheric boundary layers is a critical challenge in computational fluid dynamics (CFD), particularly when resolving vertical and lateral velocity components under varying mesh resolutions. This study investigates the sensitivity of numerical wake characteristics to computational grid refinement in a spire-induced turbulent flow environment. Spires are widely employed in wind tunnel simulations to reproduce realistic atmospheric boundary layer (ABL) conditions, yet their interaction with downstream wake structures remains highly dependent on discretization strategies.
A structured CFD framework is developed to evaluate the influence of mesh density on velocity field accuracy, focusing on wake development, turbulence intensity distribution, and flow anisotropy. The study integrates theoretical ABL modeling principles established in classical wind engineering research (Armitt & Counihan, 1968; Counihan, 1969), while incorporating modern spire-based flow generation methodologies that ensure realistic boundary layer reproduction. Additionally, insights from experimental and numerical investigations on spire-induced flow fields are considered to validate simulation reliability (Fitriady, Rahmat, & Mohammad, n.d.).
The results demonstrate that finer mesh resolutions significantly enhance the fidelity of vertical velocity gradients and lateral wake diffusion, while coarse meshes tend to underestimate turbulence anisotropy and wake recovery length. The findings provide critical implications for CFD-based wind engineering applications, particularly in urban aerodynamics, structural wind loading, and environmental flow modeling. The study also highlights optimal mesh thresholds beyond which computational cost outweighs accuracy gains, offering practical guidance for high-fidelity numerical simulations.
Keywords
References
Most read articles by the same author(s)
- Alejandro Martin Velasco, Integrated Multihazard Wind, Wave, and Scour Risk Assessment for Coastal High Rise and Sea Crossing Infrastructure under Climate Change Conditions , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Kolchin Rustam, Transition from Periodic Security Assessments to Continuous Vulnerability Management Frameworks , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
Similar Articles
- Alejandro Martin Velasco, Integrated Multihazard Wind, Wave, and Scour Risk Assessment for Coastal High Rise and Sea Crossing Infrastructure under Climate Change Conditions , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Rhys A. Vardon, Prof. Elena K. Petrov, Performance Engineering and Intelligent Automation in Cloud-Accelerated and Data-Intensive Enterprise Architectures: A Synthesis of Emerging Trends , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Ikenna Uzoma Ajere, Kennedy Oberhiri Obohwemu, Celestine Emeka , Kingsley Chimaobi Akabuokwu, Oluwafemi Emmanuel Ooju, Mary Oluwayemisi Akadiri, Syeda Morsheda Sogra, Syeda Faiza Sogra, A Realistic Hybrid Mobility Model for Search-and-Rescue Teams in Mobile Ad Hoc Networks , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Thabo Nkosi, Zero-Paper Construction Sites: Leveraging BIM-To-Field Data, Sqlite Sync, And Real-Time Quality Assurance for Smarter Projects , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Emily R. Thompson, Dr. Michael J. Anderson, Data-Driven Assessment and Numerical Investigation of Vertical Bearing Resistance in Quadrilateral Void-Filled Cementitious Support Elements , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
You may also start an advanced similarity search for this article.