Probabilistic Structure Design of Automatic Salt Collector Using Reliability Based Robust Optimization

신뢰성 기반 강건 최적화를 이용한 자동채염기의 확률론적 구조설계

  • Song, Chang Yong (Dept. of Naval Architecture & Ocean Engineering, Mokpo National University)
  • 송창용 (목포대학교 조선해양공학과)
  • Received : 2020.08.11
  • Accepted : 2020.09.16
  • Published : 2020.10.31


This paper deals with identification of probabilistic design using reliability based robust optimization in structure design of automatic salt collector. The thickness sizing variables of main structure member in the automatic salt collector were considered the random design variables including the uncertainty of corrosion that would be an inevitable hazardousness in the saltern work environment. The probabilistic constraint functions were selected from the strength performances of the automatic salt collector. The reliability based robust optimum design problem was formulated such that the random design variables were determined by minimizing the weight of the automatic salt collector subject to the probabilistic strength performance constraints evaluating from reliability analysis. Mean value reliability method and adaptive importance sampling method were applied to the reliability evaluation in the reliability based robust optimization. The three sigma level quality was considered robustness in side constraints. The probabilistic optimum design results according to the reliability analysis methods were compared to deterministic optimum design results. The reliability based robust optimization using the mean value reliability method showed the most rational results for the probabilistic optimum structure design of the automatic salt collector.


  1. Korea Maritime Institute(KMI), KMI Trend Analysis, 161, Seoul, (2019).
  2. Christopher D. E. and Masoud R., "Integrated reliability and sizing optimization of a large composite structure," Marine Structures, vol. 22, no. 2, pp. 315-334, (2009).
  3. Song, C. Y., Lee, J. and Choung, J., "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).
  4. Bai, Y., Tang, J., Xu, W. and Ruan, W., "Reliability-based design of subsea light weight pipeline against lateral stability. Marine Structures," vol. 43, no. 1, pp. 107-124, (2015).
  5. Yin, F., Nie, S., Ji, H. and Huang, Y., "Non-probabilistic reliability analysis and design optimizaiotn for vavel-port plate pair of seawater hydraulic pump for underwater apparatus," Ocean Engineering, vol. 163, no. 1, pp. 337-347, (2018).
  6. 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).
  7. Sung, K. Y., Cho, S. G., Oh, J. W., Yeu, T. K., Hong, S. and Kim, H., "Application of Verification & Validation for Deepsea Mining Robot Technology Development," Journal of The Korean Society of Industry Convergence, vol. 22, no. 6, pp. 689-702, (2019).
  8. Simulia, Abaqus User Manual. Simulia, (2018).
  9. DNV-GL, Structural design of offshore units WSD method, Det Norske Veritas, (2015).
  10. Phadke, M. S., Quality Engineering using Robust Design, Prentice Hall, Englewood Cliffs, New Jersey, (1989).
  11. Sim, H. M., Song, C. Y., Lee, J. and Choi, H., "Study of Reliability-Based Robust Design Optimization Using Conservative Approximate Meta-Models," Journal of Ocean Engineering and Technology, vol. 26, no. 6, pp. 80-85, (2012).
  12. Haftka, R. T. and Gurdal, Z., Elements of Structural Optimization, Kluwer Academic Publishers, Dordrecht, (1991).
  13. Hsieh, C. C. and Oh, K. P., "MARS: A Computer-Based Method for Achieving Robust Systems," FISITA Conference, The Integration of Design and Manufacture, vol. 1, no. 1, pp. 115-120, (1992).
  14. Wu, Y., "Computational Methods for Efficient Structural Reliability and Reliability Sensitivity Analysis," AIAA Journal, vol. 32, no. 8, pp. 1717-1723, (1994).
  15. Han, J. W., and Park, Y.S., "Evaluation of Corrosion Characteristics of Pipeline Material (SUS316) for the Geothermal Power Plant," Korean Journal of Air-Conditioning and Refrigeration Engineering, vol. 24, no. 2, pp. 142-146, (2012).