caa a22 4500 445878169 CHVBK 20180317145533.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11081-009-9103-5 doi (NATIONALLICENCE)springer-10.1007/s11081-009-9103-5 Tailoring the particle swarm optimization algorithm forthedesign of offshore oil production risers [Elektronische Daten] [Aline de Pina, Carl Albrecht, Beatriz de Lima, Breno Jacob] In offshore oil production activities, risers are employed to connect the wellheads at the sea-bottom to a floating platform at the sea surface. The design of risers is a very important issue for the petroleum industry; many aspects are involved in the design of such structures, related to safety and cost savings, thus requiring the use of optimization tools. In this context, this work presents studies on the application of the Particle Swarm Optimization method (PSO) to the design of steel catenary risers in a lazy-wave configuration. The PSO method has shown good efficiency for some applications, but its performance is dependent on the values selected for the parameters of the algorithm. Therefore, this work describes some variants of the method, and presents results of several experiments performed to analyze the behavior of its parameters, trying to improve the performance of the method and tailor it for the application to the design of riser systems. The resulting method and its best set of parameters can then be taken as the default values in an implementation of the PSO method in the in-house OtimRiser computational tool, oriented to the design of risers, and also incorporating other optimization methods based on evolutionary concepts. Springer Science+Business Media, LLC, 2010 Offshore systems nationallicence Risers nationallicence Particle swarm optimization method nationallicence de Pina Aline COPPE/UFRJ, Civil Engineering Department, Post-Graduate Institute of the Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut Albrecht Carl Polytechnic School/UFRJ, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut de Lima Beatriz COPPE/UFRJ, Civil Engineering Department, Post-Graduate Institute of the Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut Jacob Breno COPPE/UFRJ, Civil Engineering Department, Post-Graduate Institute of the Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 215-235 1389-4420 12:1-2<215 2011 12 11081 https://doi.org/10.1007/s11081-009-9103-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11081-009-9103-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- de Pina Aline COPPE/UFRJ, Civil Engineering Department, Post-Graduate Institute of the Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut NATIONALLICENCE 700 1- Albrecht Carl Polytechnic School/UFRJ, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut NATIONALLICENCE 700 1- de Lima Beatriz COPPE/UFRJ, Civil Engineering Department, Post-Graduate Institute of the Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut NATIONALLICENCE 700 1- Jacob Breno COPPE/UFRJ, Civil Engineering Department, Post-Graduate Institute of the Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil aut NATIONALLICENCE 773 0- Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 215-235 1389-4420 12:1-2<215 2011 12 11081 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer