Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Deriving the Statistical Weight Estimation Formula for an Aircraft Wing

항공기 날개의 통계적 중량 예측식 도출 연구

  • Kim, Seok-Beom (Department of Aerospace Engineering, Graduate School, Sejong University) ;
  • Jeong, Han-Gyu (Department of Aerospace Engineering, Graduate School, Sejong University) ;
  • Hwang, Ho-Yon (Department of Aerospace Engineering, Sejong University)
  • Received : 2017.08.12
  • Accepted : 2017.12.18
  • Published : 2018.01.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this research, a method of deriving statistical weight prediction formula which is used during the conceptual design phase was studied and it was programmed using Microsoft Excel and verified by applying to jet transport aircraft. The database was built while referencing the variables of conventional wing weight estimation formulas and it was used for modeling the jet transport wing weight regression equation. The model was evaluated using the K-fold cross validation method to solve the overfitting problem of the model.

본 논문에서는 개념설계 단계에서 주로 사용되는 통계적 중량 예측식 도출 방법에 관한 연구를 수행하였으며 Microsoft Excel을 이용해 이를 프로그램화하고 제트 여객기에 적용하여 검증하였다. 기존 중량 예측식들의 변수들을 참고하여 데이터베이스를 구축하였고 이를 사용하여 제트 여객기 날개 중량 예측식을 모델링하였다. 모델의 과적합 문제를 해결하기 위해 K-fold cross validation 방법을 사용하여 모델을 평가하였다.

Keywords

References

  1. Raymer, D. P., Aircraft Design: A Conceptual Approach, AIAA Education Series, 1999.
  2. Roskam, J., Airplane Design Part V: Component Weight Estimation, DARcorporation, 1999.
  3. Torenbeek, E., Synthesis of Subsonic Airplane Design, Delft University Press, 1982.
  4. Wiegand, B. P., "The Basic Algorithms of Mass Properties Analysis and Control," Society of Allied Weight Engineers, No. 2067, 1992.
  5. Lee, W. R., Regression Analysis, 2nd Ed., Tamjin, 2012.
  6. Sforza, P. M., Commercial Airplane Design Principles, Butterworth-Heinemann, 2014.
  7. https://www.dfrc.nasa.gov/Gallery/Graphics/B-720/
  8. Hastie, T., Tibshirani, R., Friedman, J., The Elements of Statistical Learning Data Mining, Inference, and Prediction, Springer, 2013.
  9. Kroo, I., Aircraft design: Synthesis and Analysis, Desktop Aeronautics, 2001.