Pregled bibliografske jedinice broj: 906888
S-Lay pipe laying optimization using specialized PSO method
S-Lay pipe laying optimization using specialized PSO method // Structural and Multidisciplinary Optimization, 56 (2017), 2; 297-313 doi:10.1007/s00158-017-1665-9 (međunarodna recenzija, članak, znanstveni)
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Naslov
S-Lay pipe laying optimization using specialized PSO method
Autori
Ivić, Stefan ; Družeta, Siniša ; Hreljac, Ivana
Izvornik
Structural and Multidisciplinary Optimization (1615-147X) 56
(2017), 2;
297-313
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Submarine pipe-laying ; S-Lay ; Particle swarm optimization ; Specialized optimization method
Sažetak
The paper deals with the optimization of the S-Lay submarine pipe-laying. The considered laying model is based on a nonlinear elastic beam model with elastic contact interactions with rigid structures of roller supports and the seabed, solved in the Abaqus software. The optimization problem is formulated so as to determine the main parameters of pipe-laying. In order to maximize the efficiency of the optimization procedure, a specialized Particle Swarm Optimization variant is developed. The introduced delta-PSO employs an additional displacement of agent positions, through which the optimization is directed towards solutions based on offshore engineering practice. Two different cases of submarine pipe laying were used for testing. In these tests, the specialized PSO was compared to standard PSO and Mesh Adaptive Direct Search, which it both outperformed. The delta-PSO specialization is easy to implement in PSO or other swarm intelligence methods, and hopefully can provide similar improvements in other applications.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus