Journal of Aerospace System Engineering (항공우주시스템공학회지)

The Society for Aerospace System Engineering (항공우주시스템공학회)
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Prediction for Fatigue Life of Composite Ply-overlap Joint Structures

복합재 플라이 오버랩 조인트 구조의 피로 수명 예측

  • Yeju Lee (Graduate School of Aerospace and Mechanical Engineering, Korea Aerospace University) ;
  • Hiyeop Kim (Graduate School of Aerospace and Mechanical Engineering, Korea Aerospace University) ;
  • Jungsun Park (Department of Aerospace and Mechanical Engineering, Korea Aerospace University)
  • 이예주 (한국항공대학교 대학원 항공우주 및 기계공학과) ;
  • 김휘엽 (한국항공대학교 대학원 항공우주 및 기계공학과) ;
  • 박정선 (한국항공대학교 항공우주 및 기계공학부)
  • Received : 2022.12.30
  • Accepted : 2023.01.27
  • Published : 2023.04.30
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Abstract

We proposed a technique for predicting Stress-Life (S-N) curve or fatigue life using geometric features of a ply-overlap joint structure in which plies of two composite materials are partially or wholly laminated and bonded. Geometric features that could affect fatigue properties of a structure were selected as variables. By analyzing relationships between geometric variables and material constants of the Epaarachchi-Clausen model, a fatigue model for composites, relational expressions of these two factors were proposed. To verify the prediction accuracy of the proposed method, fatigue life of a CFRP/GFRP ply-overlap joint was predicted. Predicted life and life obtained by test data-based model were compared to actual life. High prediction accuracy was confirmed by calculating the coefficient of determination of the predicted S-N curve.

본 논문에서는 두 가지 복합재료의 플라이를 부분적 또는 전체적으로 적층하여 접합시킨 플라이 오버랩 조인트 구조의 기하학적 특징을 이용하여 응력-수명(S-N) 선도 및 피로 수명을 예측하는 기법을 제안한다. 구조의 피로 특성에 영향을 주는 기하학적 특징을 변수로 선정하였다. 기하학적 변수와 복합재 피로 모델인 Epaarachchi-Clausen 모델을 구성하는 재료상수의 관계를 분석하여 두 요소의 관계식을 제안하였다. 제안한 방법의 예측 정확도 검증을 위해서 CFRP/GFRP 플라이 오버랩 조인트의 피로 수명을 예측하였다. 예측된 수명과 시험 데이터 기반 모델로 얻은 수명을 실제 수명에 비교하였다. 또한, 예측된 S-N 선도의 결정 계수를 계산함으로써 높은 예측 정확도를 확인하였다.

Keywords

Acknowledgement

이 연구는 과학기술정보통신부의 지원을 받는 원천기술개발사업인 '무인이동체용 다기능 전자기 구조체의 설계 및 제작 연구' (2020M3C1C1A01084756)의 지원 및 2022년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(과제 번호 : 2022R1A6A1A03056784).

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