Abstract
This paper proposes an optimization framework called OPTSHIP (OPTimization for SHIP) by integrating NASTRAN external analyzer with some global optimization algorithms to enhance optimum design for vibration reduction of ship structure. The merits of this framework are used for global searching and selection of various objective functions and design variables. It is especially relatively easy to apply for optimum design of a big and complex structure such as a merchant ship. The global optimization algorithms used here are random tabu search method and genetic algorithm. Moreover, an example of optimum design to reduce the vibration level of a deckhouse according to the strict vibration criteria is presented to verify the performance of the proposed algorithm. The results show that the reduction of vibration velocity reaches 33.5%, which indicates that the proposed method is relatively effective and can be applied in real-world optimization.
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References
António CAC (2002) A multilevel genetic algorithm for optimization of geometrically nonlinear stiffened composite structures. Struct Multidisc Optim 24:372–386
Arora JS (1989) Introduction to optimum design. McGraw-Hill, New York
Baker JE (1985) Adaptive selection methods for genetic algorithms. In: Proceedings of the first international conference on genetic algorithms and their application. Lawrence Erlbaum Associates, pp 445–460
Choi BG, Yang BS (2000) Optimum shape design of rotor shafts using genetic algorithm. J Vib Control 6(2):207–222
Choi BG, Yang BS (2001) Optimal design of rotor-bearing systems using immune-genetic algorithm. Trans ASME J Vib Acoust 123(3):398–401
David B, Michael R (1994) MSC.NASTRAN DMAP module dictionary. MacNeal-Schwendler, Los Angeles, CA, USA
Feng FZ, Kim YH, Yang BS (2006) Applications of hybrid optimization techniques for model updating of rotor shafts. Struct Multidisc Optim 32(1):65–75. DOI 10.1007/s00158-006-0003-4
Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimizations by simulated annealing. Science 220:671–680
Esgelman LJ, Caruana RA, Schaffer, JD (1989) Bases in the crossover landscape. In: Proceedings of the third international conference on genetic algorithm. Morgan Kaufmann, San Mateo, CA, pp 10–19
Glover F (1986) Future paths for integer programming and links to artificial intelligence. Comp Oper Res 13(5):533–549
Glover F (1989) Tabu search—part I. ORSA J Comput 1(3):190–206
Goldberg DE (1989) Genetic algorithms in search, optimization & machine learning. Addison-Wesley, Reading, MA, USA
Goldberg DE (1990) A note on Boltzman tournament selection for genetic algorithms and population-oriented simulated annealing. Complex Syst 4(4):445–460
Holland JH (1975) Adaptation in natural and artificial systems. The University of Michigan Press, Michigan
Hu N (1992) Tabu search method with random moves for globally optimal design. Int J Numer Methods Eng 10:299–310
ISO 6954 (2000) Mechanical vibration—guidelines for the measurement, reporting and evaluation of vibration with regard to habitability on passenger and merchant ships. International Organization for Standardization, USA
Kerwin JE (1990) A numerical method for the analysis of cavitating propellers in nonuniform flow MIT-PUF-3A user’s manual. MIT Report No. 90-3
Kitamura M, Nobukawa H, Yang F (2000) Application of a genetic algorithm to the optimal structural design of a ship’s engine room taking dynamic constraints into consideration. J Mar Sci Technol 5:131–146
MSC.NASTRAN (1994) Design sensitivity and optimization. User’s guide. MacNeal-Schwendler, Los Angeles, CA, USA
MSC.PATRAN (1998) User’s guide, ver. 8. MacNeal-Schwendler, Los Angeles, CA, USA
Oh SH, Choi SH (1996) Technical report for vibration analysis of containership. DW H. No. 4052. Daewoo Shipbuilding & Marine Engineering, South Korea (in Korean)
Ray T, Gokarn RP, Sha OP (1995) A global optimization model for ship design. Comput Ind 26:175–192
Sitton G (1993) MSC.NASTRAN basic dynamic analysis user’s guide. MacNeal-Schwendler, Los Angeles, CA, USA
Song JD, Yang BS (2005) Optimum design of short journal bearing by using enhanced artificial life optimization algorithm. Tribol Int 38(4):403–411
Trim and stability calculation for DW H. No. 4052 (1996) Daewoo Shipbuilding & Marine Engineering, South Korea (in Korean)
Yang BS, Choi BG, Jeon SB, Kim DJ (1988) Optimum allocation of pipe support using combined optimization algorithm by genetic algorithm and random tabu search method. Korea Fuzzy Logic and Intelligent System Society 8(3):71–79 (in Korean)
Yang BS, Jeon SB, Choi BG, Yu YH (1998) Optimum design of damping plate using combined optimization algorithm by genetic algorithm and random tabu search method. Trans KSME (A) 22(7):1258–1266
Yang BS, Choi SP, Kim YC (2005) Vibration reduction optimization design of a steam-turbine rotor-bearing system using a hybrid genetic algorithm. Struct Multidisc Optim 30:43–53
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Kong, YM., Choi, SH., Song, JD. et al. OPTSHIP: a new optimization framework and its application to optimum design of ship structure. Struct Multidisc Optim 32, 397–408 (2006). https://doi.org/10.1007/s00158-006-0024-z
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DOI: https://doi.org/10.1007/s00158-006-0024-z