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Articles

Numerical investigation of the unsteady coupling airflow impact of a full-scale warship with a helicopter during shipboard landing

ORCID Icon, , , , &
Pages 954-979 | Received 23 Dec 2019, Accepted 15 Jun 2020, Published online: 29 Jul 2020
 

Abstract

In this paper, a comprehensive computational modeling study of the unsteady aerodynamic environment around a warship with a helicopter is performed. An experimental validation exercise is also conducted, comparing computational fluid dynamics (CFD) results of the airwake calculated for a reduced-scale model of the isolated Landing Helicopter Assault (LHA) model with high-quality particle image velocimetry experimental data provided by the NASA AMES Research Center. Comparisons of the results generally obtain agreement, indicating that the CFD numerical method is able to resolve the large-scale turbulent airflow. Building on this, a numerical simulation of a real Robin helicopter, immersed in the unsteady airwakes of a full-scale Amphibious Assault Ship (AAS), is performed. The aerodynamic simulation of the influence on the coupled airflow of warship–helicopter is explored and compared with that of the solitary ship airflow field and the superposition airwakes, where the vortex patterns and pressure on the ship surface, as well as the velocity distribution, are circumvented. As a further step, dynamic landing analysis of the airflow field for a shipborne helicopter is implemented at an important location through the landing path for headwind. The aerodynamic characteristics of a helicopter during a flight deck landing are also explored for the unsteady ship airwakes impacting on rotor force during shipboard landings. In addition, different shipboard landing paths of the helicopter are comparatively investigated for obtaining an optimal landing path decision. The present study demonstrates an effective aerodynamic analysis and robust numerical approach, which creates a solid foundation supporting further alternative evaluations of ship airflow fields.

Acknowledgements

The authors thank the reviewers for their comments and suggestions in improving the quality of the article.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was funded by the National Natural Science Foundation of China (grant number 51809029), the Ph.D. Scientific Research Fund of the Natural Science Foundation of Liaoning Province (No. 2019-BS-025), the Pre-Research Field Foundation of Equipment Development Department of the Central Military Commission of China (grant number 61402070106) and the Fundamental Research Funds for the Central Universities (grant number 3132019306).