한국기계가공학회지 (Journal of the Korean Society of Manufacturing Process Engineers)

  • 제20권5호
  • /
  • Pages.85-95
  • /
  • 2021
  • /
  • 1598-6721(pISSN)
  • /
  • 2288-0771(eISSN)
한국기계가공학회 (The Korean Society of Manufacturing Process Engineers)
권호 표지
DOI QR코드

DOI QR Code

직교배열실험 방법 기반 해양플랜트 플로트오버 설치 공법용 수동형 DSF의 구조설계 민감도와 메타모델링 평가

Evaluation on Structure Design Sensitivity and Meta-modeling of Passive Type DSF for Offshore Plant Float-over Installation Based on Orthogonal Array Experimental Method

  • 이동준 (목포대학교 조선해양공학과) ;
  • 송창용 (목포대학교 조선해양공학과)
  • Lee, Dong-Jun (Department of Naval Architecture & Ocean Engineering, Mokpo National University) ;
  • Song, Chang Yong (Department of Naval Architecture & Ocean Engineering, Mokpo National University)
  • 투고 : 2021.01.18
  • 심사 : 2021.02.15
  • 발행 : 2021.05.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Structure design sensitivity was evaluated using the orthogonal array experimental method for passive-type deck support frame (DSF) developed for float-over installation of the offshore plant. Moreover, approximation characteristics were also reviewed based on various meta-models. The minimum weight design of the DSF is significantly important for securing both maneuvering performance and buoyancy of a ship equipped with the DSF and guaranteeing structural design safety. The performance strength of the passive type DSF was evaluated through structure analysis based on the finite element method. The thickness of main structure members was applied to design factors, and output responses were considered structure weight and strength performances. Quantitative effects on the output responses for each design factor were evaluated using the orthogonal array experimental method and analysis of variance. The optimum design case was also identified from the orthogonal array experiment results. Various meta-models, such as Chebyshev orthogonal polynomial, Kriging, response surface method, and radial basis function-based neural network, were generated from the orthogonal array experiment results. The results of the orthogonal array experiment were validated using the meta-modeling results. It was found that the radial basis function-based neural network among the meta-models could approximate the design space of the passive type DSF with the highest accuracy.

키워드

과제정보

본 연구는 해양수산부 해양장비개발 및 인프라구축사업인 '해양플랜트 플로트오버 및 복수크레인 설치설계 핵심기술개발(PMS 4260)' 과제, 산업통상자원부 '산업전문인력역량강화사업'의 재원으로 한국산업기술진흥원(KIAT)의 지원을 받아 수행된 연구(친환경스마트선박 R&D 전문인력양성사업, 과제번호:P0001968)과제, 그리고 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신 사업의 결과입니다.

참고문헌

  1. Park, J. M., Park, C. H., Kim, T. S. and Choi, D. H., "Optimal Determination of Pipe Support Types in Flare System for Minimizing Support Cost," Journal of the Society of Naval Architects of Korea, Vol. 48, No. 4, pp. 325-329, 2011. https://doi.org/10.3744/SNAK.2011.48.4.325
  2. Song, C. Y., Lee, J. and Choung, J. M., "Reliability-based Design Optimization of an FPSO Riser Support Using Moving Least Squares Response Surface Meta-models," Ocean Engineering, Vol. 38, No. 1, pp. 304-318, 2011. https://doi.org/10.1016/j.oceaneng.2010.11.001
  3. Lee, D. M. and Kim, S. Y., "Sensitivity Analysis of Design Parameters for Quadruple Offset Butterfly Valve by Operating Torque," Journal of Ocean Engineering and Technology, Vol. 28, No. 2, pp. 160-166, 2014. https://doi.org/10.5574/KSOE.2014.28.2.160
  4. Ji, Y. J., Kwak, J. S., Lee, H. Y. and Kim, S. C., "Optimal Arrangement of Resilient Mount Installed on Frame Support Structure at Shipboard Equipment Under Shock Load," Journal of the Society of Naval Architects of Korea, Vol. 52, No. 4, pp. 298-304, 2015. https://doi.org/10.3744/SNAK.2015.52.4.298
  5. Park, J. H., Lee, D., Yang, J. W. and Song, C. Y., "Design Enhancement to Avoid Radar Mast Resonance in Large Ship Using Design of Experiments," Journal of Ocean Engineering and Technology, Vol. 33, No. 1, pp. 50-60, 2019. https://doi.org/10.26748/KSOE.2018.088
  6. DNV-GL, Load Transfer Operations, Det Norske Veritas, 2012.
  7. DNV-GL, Offshore installation Operations, Det Norske Veritas, 2013.
  8. GL, Guidelines for Load-outs, GL Noble Denton, 2015.
  9. GL, Guidelines for Marine Transportations, GL Noble Denton, 2015.
  10. Kim, H. S., Kim, B. W., Jung, D. and Sung, H. G., "Numerical Study for Topside Effect on Behavior of Deck Transportation Vessel and Seafastening Structure," Proceedings of OCEANS, Aberdeen, 2017.
  11. DNV-GL, Structural Design of Offshore Units WSD Method, Det Norske Veritas, 2015.
  12. Simulia, Abaqus User Manual. Simulia, 2018.
  13. Park, S. H., Design of Experiments, Minyoung Publishing, Seoul, 2012.
  14. Simulia, iSIGHT User Manual. Simulia, 2018.
  15. Song, C. Y. and Lee, J., "Comparative Study of Approximate Optimization Techniques in CAE-based Structural Design," Transactions of the Korean Society of Mechanical Engineers-A, Vol. 34, No. 11, pp. 1603-1611, 2010. https://doi.org/10.3795/KSME-A.2010.34.11.1603
  16. Baek, S. H., Kim, H. S. and Han, D. S., "Structural Optimization of Variable Swash Plate for Automotive Compressor Using Orthogonal Polynomials," Transactions of the Korean Society of Mechanical Engineers-A, Vol. 35, No. 10, pp. 1273-1279, 2011. https://doi.org/10.3795/KSME-A.2011.35.10.1273
  17. Cho, S. K., Byun, H. and Lee, T. H., "Selection Method of Global Model and Correlation Coefficients for Kriging Metamodel," Transactions of the Korean Society of Mechanical Engineers-A, Vol. 33, No. 3, pp. 813-818, 2009. https://doi.org/10.3795/KSME-A.2009.33.8.813
  18. Dyn, N., Levin, D. and Rippa, S., "Numerical Procedures for Surface Fitting of Scattered Data by Radial Basis Functions," SIAM Journal on Scientific and Statistical Computing, Vol. 7, No. 2, pp. 639-659, 1986. https://doi.org/10.1137/0907043