DOI QR코드

DOI QR Code

Application of orthogonal array design for minimum weight design and sensitivity analysis of detachable mooring system for floating offshore wind turbine

부유식 해상풍력발전기용 탈착형 계류 시스템의 최소중량설계와 민감도평가를 위한 직교배열실험법 응용

  • Min-Seok Cheong (Department of Naval Architecture & Ocean Engineering, Mokpo National University) ;
  • Chang-Yong Song (School of Mechanical & Ocean Engineering, Mokpo National University)
  • 정민석 (국립목포대학교 조선해양공학과) ;
  • 송창용 (국립목포대학교 기계조선해양공학부)
  • Received : 2025.06.20
  • Accepted : 2025.07.20
  • Published : 2025.07.30

Abstract

In this study, a minimum weight design and sensitivity analysis were conducted for the Fairlead Chain Stopper (FCS), a detachable mooring system designed for application to a 10 MW-class floating offshore wind turbine. The Orthogonal Array Design (OAD) was employed to systematically evaluate the influence of design variables. In the OAD, the thickness dimensions of the primary components of the FCS were selected as design factors, while the responses were defined as structural weight and strength performances. The suitability of the OAD experimental matrix configuration was verified by constructing a response surface model and assessing its approximation accuracy. The minimum weight design of the FCS was determined based on the optimal configuration derived from the OAD results. Furthermore, through sensitivity analysis, the design factors with the most significant effect on each response were identified.

본 연구에서는 부유식 10MW급 해상풍력발전기에 설치하기 위해 설계된 탈착형 계류 시스템인 Fairlead Chain Stopper (FCS)에 대해 직교배열실험법 (Orthogonal Array Design, OAD)을 이용한 최소중량설계와 민감도 평가를 수행하였다. OAD에서 FCS의 주요 구성품의 두께 치수는 설계인자로 고려하였고, 응답치는 중량과 강도성능으로 선정하였다. OAD의 실험행렬 탐색 및 구성의 적합성은 반응표면모델을 생성하여 근사화 정확도의 평가를 통해 수행하였다. FCS의 최소중량설계은 OAD의 최상 설계안의 결과로부터 결정되었고, 민감도 평가를 통해 응답치 별로 영향도가 높은 설계인자가 파악되었다.

Keywords

Acknowledgement

본 연구는 산업통상자원부(MOTIE)와 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 (No.20213000000030)와 연구(No.20223030020240) 결과이며, 해양수산부의 재원으로 한국해양수산 과학기술진흥원의 지원을 받아 수행한 연구과제(친환경 선박용 전기추진시스템 시험평가 및 무탄소연료 선박 적용성 실증 기술개발, No. 1525013494/PMS5390)의 지원에 의하여 연구되었음

References

  1. Kim, H. K., Song, C. Y., & Lee, K. S. (2021). Structural sensitivity analysis of active DSF for float-over installation in offshore plants using design of experiments. Journal of Convergence for Information Technology, 11(2), 98–106. DOI: 10.22156/CS4SMB.2021.11.02.098
  2. Park, J. H., Lee, D., Yang, J. W., & Song, C. Y. (2019). Design enhancement to avoid radar mast resonance in large ship using design of experiments. Journal of Ocean Engineering and Technology, 33(1), 50–60. DOI : 10.26748/KSOE.2018.088
  3. Li, J., Cui, C., Xiao, Z., Wang, B., & Xu, C. (2024). Reliability and sensitivity analyses of monopile supported offshore wind turbines based on probability density evolution method with pre-screening of controlling parameters. Ocean Engineering, 310, 118746. DOI : 10.1016/j.oceaneng.2024.118746
  4. Wang, Y., et al. (2023). Global sensitivity analysis of a semi-submersible floating wind turbine using a neural network fitting method. Ocean Engineering, 285, 115351. DOI : 10.1016/j.oceaneng.2023.115351
  5. Cao, Y., Nie, W., Hu, X., Zhang, S., Meng, Z., Xin, L., & Yu, J. (2016). Parameter sensitivity study of dynamic response for jack-ups by FEM analysis. Ocean Engineering, 124, 125–134. DOI : 10.1016/j.oceaneng.2016.07.058
  6. Rigo, P., et al. (2003). Sensitivity analysis on ultimate strength of aluminium stiffened panels. Marine Structures, 16, 437–468. DOI : 10.1016/j.marstruc.2003.09.002
  7. DNV. (2021). Position Mooring (DNV-OS-E301), Det Norske Veritas.
  8. DNV. (2024). Structural Design of Offshore Units (DNV-OS-C101), Det Norske Veritas.
  9. DNV. (2021). Floating Wind Turbine Structures (DNV-ST-0119), Det Norske Veritas.
  10. Integrated Load Analysis Report. (2023). DMS-IA-GEN-DOC-REP-0005, Institute for Advanced Engineering.
  11. Altair. (2021). HyperWorks User Guide, Altair Engineering.
  12. Simulia. (2020). Abaqus User Manual, Dassault Systèmes.
  13. S. H. Park. (2012). Design of experiments. Minyoung Publishing, Seoul.
  14. Song, C. Y., & Lee, D. J. (2020). Sensitivity analysis of structural design and surrogate model comparison for an automated salt collector using orthogonal array design. Journal of Convergence for Information Technology, 10(7), 138–146. DOI: 10.22156/CS4SMB.2020.10.07.138
  15. Song, C. Y. (2021). Approximate optimization based on meta-model for weight minimization design of ocean automatic salt collector. Journal of Convergence for Information Technology, 11(1), 109–117. DOI: 10.22156/CS4SMB.2021.11.01.109
  16. Song., C. Y. (2025). Probabilistic design optimization of shipboard radar mast by adopting RBFN meta-model and various reliability methods. International Journal of Naval Architecture and Ocean Engineering, 17, 100667. DOI: 10.1016/j.ijnaoe.2025.100667