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Offshore and Structural Mechanics

Parallel Dynamic Optimization of Steel Risers

[+] Author and Article Information
Rafael L. Tanaka

Department of Mechanical Engineering, University of São Paulo, 05508–900 São Paulo, Brazilrafael.tanaka@gmail.com

Clóvis de A. Martins

Department of Mechanical Engineering, University of São Paulo, 05508–900 São Paulo, Brazilcmartins@usp.br

J. Offshore Mech. Arct. Eng 133(1), 011302 (Nov 04, 2010) (9 pages) doi:10.1115/1.4001955 History: Received September 06, 2008; Revised April 02, 2010; Published November 04, 2010; Online November 04, 2010

This paper addresses the use of optimization techniques in the design of a steel riser. Two methods are used: the genetic algorithm, which imitates the process of natural selection, and the simulated annealing, which is based on the process of annealing of a metal. Both of them are capable of searching a given solution space for the best feasible riser configuration according to predefined criteria. Optimization issues are discussed, such as problem codification, parameter selection, definition of objective function, and restrictions. A comparison between the results obtained for economic and structural objective functions is made for a case study. Optimization method parallelization is also addressed.

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Figures

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Figure 1

Riser configurations

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Figure 2

Elastic line of the optimum configuration for cases 1–4

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Figure 3

Elastic line of the optimum configuration for case 5

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Figure 4

Elastic line of the optimum configuration for case 6

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Figure 5

Elastic line of the optimum configuration for case 7

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Figure 6

Elastic line of the optimum configuration by cost

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Figure 7

Optimum configuration for the simulated annealing

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Figure 8

Speedup curve for machine 1

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Figure 9

Speedup curve for GA with a single configuration

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