본문 바로가기
KERD
논문KCI 등재

Optimum Design of the Power Yacht Based on Micro-Genetic Algorithm

2

조회

0

다운로드

0

인용

0

참고문헌

주제분류해상운송학

초록

The optimum design of power yacht belongs to the nonlinear constrained optimization problems. The determination of scantlings for the bow structure is a very important issue with in the whole structural design process. The derived design results are obtained by the use of real-coded micro-genetic algorithm including evaluation from Lloyd’s Register small craft guideline, so that the nominal limiting stress requirement can be satisfied. In this study, the minimum volume design of bow structure on the power yacht was carried out based on the finite element analysis. The target model for optimum design and local structural analysis is the bow structure of a power yacht. The volume of bow structure and the main dimensions of structural members are chosen as an objective function and design variable, respectively. During optimization procedure, finite element analysis was performed to determine the constraint parameters at each iteration step of the optimization loop. optimization results were compared with a pre-existing design and it was possible to reduce approximately 19 percents of the total steel volume of bow structure from the previous design for the power yacht.

Abstract

The optimum design of power yacht belongs to the nonlinear constrained optimization problems. The determination of scantlings for the bow structure is a very important issue with in the whole structural design process. The derived design results are obtained by the use of real-coded micro-genetic algorithm including evaluation from Lloyd’s Register small craft guideline, so that the nominal limiting stress requirement can be satisfied. In this study, the minimum volume design of bow structure on the power yacht was carried out based on the finite element analysis. The target model for optimum design and local structural analysis is the bow structure of a power yacht. The volume of bow structure and the main dimensions of structural members are chosen as an objective function and design variable, respectively. During optimization procedure, finite element analysis was performed to determine the constraint parameters at each iteration step of the optimization loop. optimization results were compared with a pre-existing design and it was possible to reduce approximately 19 percents of the total steel volume of bow structure from the previous design for the power yacht.

참고문헌 (12)

  1. ANSYS User’s Theory Manual V10.0, "Chapter four Introduction to Material Nonlinearities" (2005), ANSYS Inc.
  2. Dario, B, "Stress Distribution at Collapse for Fast Mono Hull Vessels", pp.153~161 (2001), Southhampton, UK
  3. Herrera, F, "Tackling real-coded genetic algorithms: operators and tools for behavioral analysis", Artificial Intelligence Review, 12(4), pp.265~319 (1998)
  4. Kim, Y, "Global cutting-path optimization considering the minimum heat effect with microgenetic algorithms", J. of Marine Science and Technology, 9(2), pp.70~79 (2004)
  5. Kim, Y, "Midship Section Optimization of Hatchcoverless Container Ship based on Real-Coded Micro-Genetic Algorithm", Key Engineering Materials, 306-308, pp.529~534 (2006)
  6. Kirkpatrick, S, "Optimization by Simulated Annealing", Science, 220(4598), pp.671~680 (1983)
  7. Lloyd’s Register, "Rules and Regulations for the Classification of Special Service Craft", Hull Construction in Steel, ~ (2003)
  8. Michalewicz,Z, "Genetic Algorithms + Data Structures = Evolution Programs" (1994), Springer-Verlag, New York
  9. Michalewicz, Z, "Handling constraints in genetic algorithms", pp.151~157 (1991), Morgan Kaufmann Publishers
  10. Sebastiani, L, "A Theoritical and Experimental Investigation of the Slamming Pressure on Fast Monohull Vessels", pp.109~116 (2001), Southhampton, UK
  11. Smith, C.S, "Strength and stiffness of ship’s plating under in-plane compression and tension", RINA Transactions, 130 (1988)
  12. Wright,A.H, "Genetic algorithms for real parameter optimization", pp.205~218 (1991), Morgan Kaufmann Publishers

관련 논문AI추천

이 간행물의 다른 논문 (7건)