A Cosimulation Framework for Carrier-Based Aircraft Arrested Landing Process
Shao Haoyuan
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorLi Daochun
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorCorresponding Author
Kan Zi
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorXiang Jinwu
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorShao Haoyuan
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorLi Daochun
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorCorresponding Author
Kan Zi
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorXiang Jinwu
School of Aeronautic Science and Engineering , Beihang University , Beijing , China , buaa.edu.cn
Search for more papers by this authorAbstract
A multiphysics cosimulation methodology for time-domain load analysis of carrier-based aircraft arrested landing is proposed in this paper. The framework integrates six-degree-of-freedom (6-DoF) flight dynamics with nonlinear rigid–flexible coupling mechanisms, incorporating factors including aerodynamic load, arresting cable dynamics, nonlinear landing gear damping characteristics, and airflow interference. A direct lift control strategy is employed to enhance trajectory stability. The computational process employs fourth-order Runge–Kutta integration for the descent phase and transitions to the Newmark method when the hook-to-ramp distance reaches the engagement threshold. The framework is validated through flight dynamics trim analysis, static load benchmarking against the LS-DYNA model, and arresting load compliance with MIL-STD-2066. Simulation results provide insights into glide path, aircraft attitude variations, and transient loads on the landing gear and arresting hook. The analysis quantifies multidisciplinary load interactions, revealing key dynamic characteristics of the arrested landing maneuver. The proposed framework provides a computationally efficient and high-fidelity methodology for evaluating the landing performance of carrier-based aircraft, serving as a valuable reference for system optimization.
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
Data is available on request from the authors.
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