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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Parallel Dynamic Optimization of Steel Risers

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Author(s):
Tanaka, Rafael L. [1] ; Martins, Clovis de A. [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Dept Mech Engn, BR-05508900 Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME; v. 133, n. 1 FEB 2011.
Web of Science Citations: 4
Abstract

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. {[}DOI: 10.1115/1.4001955] (AU)