Parallel Dynamic Optimization of Steel Risers

Autor(es)

Tanaka, Rafael L. ^[1] ; Martins, Clovis de A. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Mech Engn, BR-05508900 Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME; v. 133, n. 1 FEB 2011.
• Citações Web of Science: 4

Resumo

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)

• Processo FAPESP: 03/14124-1 - Otimização da configuração de um riser utilizando computação paralela
• Beneficiário: Rafael Loureiro Tanaka
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto