Latest Research in Wind and Air Flow Studies

Top Research Topics in Wind and Air Flow Studies

• Wind and Air Flow Studies — 5 papers
• Thermodynamic and Exergetic Analyses of Power and Cooling Systems — 1 papers
• Biomimetic flight and propulsion mechanisms — 1 papers
• Ship Hydrodynamics and Maneuverability — 1 papers
• Underwater Vehicles and Communication Systems — 1 papers
• Mathematical and Computational Methods — 1 papers
• Aeolian processes and effects — 1 papers
• earthquake and tectonic studies — 1 papers
• Infrastructure Maintenance and Monitoring — 1 papers
• Nuclear Materials and Properties — 1 papers

Highest-Cited Papers

1. Modelling of wind flows over realistic forests with LES (1 citations)
2. SCADA-informed surrogate modeling and evolutionary optimization for simultaneous exergy, cost, and vibration management in gas turbine systems
3. Whisker-based tactile flight for tiny drones
4. A new data-driven model for rapid urban low-level wind field simulation using conditional generative adversarial networks
5. Application of Computational Fluid Dynamics Techniques to Mitigate Wind Induced Noise in the Complex Built Environment
6. AeroRescue-v1: Individual Gliding Evacuation System for Catastrophic Offshore Failures — Comparative Analysis and Open-Source Technical Specification
7. Magnetic Interference Compensation Method for a Deep-Sea Human-Occupied Vehicle Based on Dynamic Excitation
8. Wind environment of grottoes over a complex mountain using UAV field measurements and numerical simulation
9. Post‑Harmony Research Tools for the Carlo Field: Quickstart Sheet and Researcher Briefing
10. Component-Resolved CFD-Based Assessment of Surface-Element Effects on Local Wind and Turbulence in a Coastal Harbor
11. Multi‐scale flow analysis for scale‐aware urban canopy models
12. Path-Dependent Landslide Initiation Through Response-Generated Memory Under Mainshock–Aftershock Loading
13. Safety Grade Prediction for Port Infrastructure Using a Markov-Based Deterioration Model with Multiple Imputation
14. Predictions of the Maneuvers of Spent Fuel Elements in a Nuclear Power Plant to a Dry Storage Unit Using Artificial Intelligence
15. The Use of Machine Learning and Surrogate Models in Optimization Methods for Milling Parameter Selection: A Structured Review and Conceptual Framework