Analysis of Jet Blast Distance of a Refined Engine Nozzle Model for Departing Aircraft

Autor: Haoran Gao, Dongxin Guo, Zejun Li, Tiantian Niu, Xin He, Yaqing Chen
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-12 (2024)
Druh dokumentu: article
ISSN: 1875-6883
DOI: 10.1007/s44196-024-00529-1
Popis: Abstract To evaluate the influence distance and evolution law of the jet blast under the full thrust state of the aircraft engine, we constructed a refined single-engine nozzle model in this study. Using a specific B737-800 engine as an illustrative example, this model takes into account both the internal combustion of the engine and the shearing effect of the tail cone on the airflow; based on a structured grid, the grid and far-field independence of the numerical solution were verified. The numerical simulation results obtained via the Fluent software were compared with the data outlined in the Boeing aircraft characteristics manual for a thorough analysis. Our results indicated that the calculated jet influence distance from the refined nozzle model aligns more closely with the data in the aircraft characteristics manual, albeit with superior accuracy compared to the simplified nozzle model employed in previous studies. The findings of this study can serve as a valuable reference for computing jet influence distances across various aircraft types and engine models, providing data support for the study of safety intervals for aircraft crossing the runway behind the takeoff point.
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