This research work represents a static analysis and design optimization of a drag strut in the nose landing gear of a 500-seater passenger aircraft. The drag strut is a critical component that supports the weight of the aircraft during landing and take-off. The objective of this study is to determine the optimal design of the drag strut to minimize its weight while ensuring that it can withstand the required load conditions. First, a finite element model of the drag strut is created, and static analysis is performed to determine the stress and displacement distributions. Next, a design optimization approach is used to minimize the weight of the drag strut subject to stress and displacement constraints. The optimization is performed using a genetic algorithm that searches for the optimal design parameters. The results show that the optimized design reduces the weight of the drag strut by 20% while meeting all the stress and displacement constraints. The study demonstrates the effectiveness of using design optimization techniques to improve the performance of critical aircraft components while maintaining safety standards.

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Design and Analysis of Drag Strut in Passenger Aircraft

  • P. Vijayakumar,
  • A. R. Venkataramanan,
  • Suriya Shaffi Bhat,
  • S. Madhava Reddy,
  • R. Sacithraa,
  • R. Girimurugan,
  • Bachina Harish Babu

摘要

This research work represents a static analysis and design optimization of a drag strut in the nose landing gear of a 500-seater passenger aircraft. The drag strut is a critical component that supports the weight of the aircraft during landing and take-off. The objective of this study is to determine the optimal design of the drag strut to minimize its weight while ensuring that it can withstand the required load conditions. First, a finite element model of the drag strut is created, and static analysis is performed to determine the stress and displacement distributions. Next, a design optimization approach is used to minimize the weight of the drag strut subject to stress and displacement constraints. The optimization is performed using a genetic algorithm that searches for the optimal design parameters. The results show that the optimized design reduces the weight of the drag strut by 20% while meeting all the stress and displacement constraints. The study demonstrates the effectiveness of using design optimization techniques to improve the performance of critical aircraft components while maintaining safety standards.