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Optimization Mathematical Model of Pile Forces for Offshore Piled Breasting Dolphins 被引量:1

Optimization Mathematical Model of Pile Forces for Offshore Piled Breasting Dolphins
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摘要 An optimization mathematical model of the pile forces for piled breasting dolphins in the open sea under various loading conditions is presented. The optimum layout with the well distributed pile forces and the least number of piles is achieved by the multiplier penalty function method. Several engineering cases have been calculated and compared with the result of the conventional design method. It is shown that the number of piles can be reduced at least by 10%~20% and the piles' bearing state is improved greatly. An optimization mathematical model of the pile forces for piled breasting dolphins in the open sea under various loading conditions is presented. The optimum layout with the well distributed pile forces and the least number of piles is achieved by the multiplier penalty function method. Several engineering cases have been calculated and compared with the result of the conventional design method. It is shown that the number of piles can be reduced at least by 10%~20% and the piles' bearing state is improved greatly.
出处 《海洋工程:英文版》 EI 2004年第4期567-575,共9页 China Ocean Engineering
基金 TheworkwassupportedbytheNationalFoundationofHighPerformanceComputation (No .9810 0 5 )
关键词 piled breasting dolphin mathematical model multiplier penalty function method optimization design piled breasting dolphin mathematical model multiplier penalty function method optimization design
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参考文献5

  • 1Bertsekas, D. P., 1982. Constrained Optimization and Lagrange Multiplier Methods, Academic Press.
  • 2HU Renli, 1987. Pile Foundation Ancdysis and Design in Bridge Engineering, China Railway Publishing House, Beijing, 217 - 230. (in Chinese).
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同被引文献7

  • 1王晖,王乐芹,周锡礽,肖仕宝.软黏土中桶形基础的上限法极限分析模型及其计算[J].天津大学学报,2006,39(3):273-279. 被引量:12
  • 2Metropolis N, Ulam S. The Monte Carlo method[J]. Journal of the American Statistical Association, 1949, 44:335-341.
  • 3Greco V R. Efficient Monte Carlo technique for locating eritical slip surface [J]. Journal of Geoteehnical Engineering (ASCE). 1996, 122(7): 517-525.
  • 4Rubinstein R Y. Simulation and the Monte Carlo Method[M]. John Wiley and Sons, Inc, New York, 1981.
  • 5RAO S S. Optimization: Theory and Applications(Second Edition)[M]. Wiley Eastern Limited: New Delhi, 1984 ; 256-323.
  • 6Shanker K, Mohan C. A random technique for the global minima of constrained nonlinear optimization problems[C]// Proceedings of International Conferrence on Optimization Tech-niques and Their Applications, Singapore, 1987: 905.
  • 7William H Press, Brian P Flannery, Saul A, et al, Numerical Recipes in FORTRAN 77: The Art of Scientific Computing[M]. Cambridge University Press, New York, 1999. (Second Edition)

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