A Study on Optimum Structural Design of Container Ship

Kitamura, Mitsuru; Nobukawa, Hisashi; Djenod, Kaharuddin

doi:10.2534/jjasnaoe1968.1999.186_353

Cited by 5 publications

(2 citation statements)

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“…Recently, GAs have received considerable attention owing to their potential as novel optimization techniques. [4][5][6][7][8][9][10] By using a GA, the global optimum can be reached more easily than by some traditional optimization techniques. One other major advantage is that they can be applied to optimization problems with discrete design variables.…”

Section: Introductionmentioning

confidence: 99%

Application of a genetic algorithm to the optimal structural design of a ship's engine room taking dynamic constraints into consideration

Kitamura

Nobukawa

Yang

2001

Journal of Marine Science and Technology

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Section: Introductionmentioning

confidence: 99%

Application of a genetic algorithm to the optimal structural design of a ship's engine room taking dynamic constraints into consideration

Kitamura

Nobukawa

Yang

2001

Journal of Marine Science and Technology

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“…1) Now, the practical use of the optimization technique is also advanced because of the improvement of the computer ability. In shipbuilding, a lot of researches have already been done about structural design 2,3) and the work scheduling 4,5) . The effectiveness of the Genetic Algorithm (GA) in the optimization problem concerning the design and the production of shipbuilding has been shown by these researches.…”

Section: Introductionmentioning

confidence: 99%

Optimization System of Block Division Using Genetic Algorithm and Product Model

et al. 2007

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Block construction method is generally used in modern shipyards. In this method, interim products are built by assembling parts, and the ship is built from these interim products. This process can be referred as "Assembling Hierarchy" in this paper. In order to construct the ship effectively, an appropriate Assembling Hierarchy plan which considering the configurations of interim products is required. So in this paper, an optimization system of ship Assembling Hierarchy using Genetic Algorithms (GA) and Product Model is discussed.In order to realize the optimization using GA, it is necessary to define the chromosomes and to examine the GA operations. Therefore, Joint Hierarchy Chromosome is newly introduced. Joint hierarchy chromosome is genotype or encoded solution of Assembling Hierarchy. In this chromosome, the level of Assembling Hierarchy on each joint is set as design variable. By using this chromosome, various plans of ship Assembling Hierarchy can be generated. Effective GA operations such as selection, crossover and mutation are also shown. Moreover, proposed system is integrated with Product Model. Therefore, fitness with penalty of the plan is calculated by the use of Product Model data.Finally, an example of the optimization is shown in the paper to confirm the validity of the developed method.

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An Optimization Model for Shell Plate Seam Landing Using Minimum Manufacturing Cost and a Solution by Genetic Algorithm

Pae,

Jon,

Pak

2024

Advances in Civil Engineering

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At present, the landing of seams and butts on the ship hull surface, which plays the important role in the shipbuilding process, is still carried out based on the designers’ skill and experience. In this paper, a new optimization model and its solution method for the landing of seams and butts (for convenience, seam and butt are simply called seam) on the ship hull surface are proposed in order to improve the shipbuilding efficiency. The minimum manufacturing cost of ship hull shell plates (SHSPs) is the objective function, the rules and requirements for the seam position and the size of a single shell plate are the constraints, and the position and shape of the seam are the design variables. The manufacturing cost consists of the costs of cutting, face cutting, bending, and welding, which are calculated for a seam landing, and the strip method is applied to develop the curved shell plate in the bending cost calculation. We consider a shape optimization problem that the optimal solution is searched among the possible alternatives when the position and shape of the seams are changed and apply the genetic algorithm to the solution of this shape optimization problem. The proposed method is applied to a 4200 DWT bulk carrier and a fishing vessel to find the optimal solutions, and compared with the existing seam landings of the ships and the optimum solutions by Taguchi method. The calculation shows that the manufacturing cost by the proposed method for 4200 DWT bulk carrier is reduced by 5.8% and 4.5%, respectively, compared to the existing seam landing and Taguchi method, and by 6.6% and 4.8% for the fishing vessel, respectively. This shows that the proposed method is more effective than the designers’ experience and Taguchi method.

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A Study on Optimum Structural Design of Container Ship

Cited by 5 publications

References 0 publications

Application of a genetic algorithm to the optimal structural design of a ship's engine room taking dynamic constraints into consideration

Application of a genetic algorithm to the optimal structural design of a ship's engine room taking dynamic constraints into consideration

Optimization System of Block Division Using Genetic Algorithm and Product Model

An Optimization Model for Shell Plate Seam Landing Using Minimum Manufacturing Cost and a Solution by Genetic Algorithm

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