Pregled bibliografske jedinice broj: 289590
Design Sea State Assessment using Genetic Algorithm Approach
Design Sea State Assessment using Genetic Algorithm Approach // Ocean Engineering, 34 (2007), 1; 148-156 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 289590 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Design Sea State Assessment using Genetic Algorithm Approach
Autori
Prpić-Oršić, Jasna ; Dejhalla, Roko ; Turk, Anton
Izvornik
Ocean Engineering (0029-8018) 34
(2007), 1;
148-156
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Long-term prediction; Wave extremes; Probability density function; Genetic algorithm
Sažetak
Two major statistical issues can be distinguished in the procedure of wave extreme prediction. The first issue is that predicted extreme values must be based on data collected in relatively short time. The second issue is extrapolation of the observed data into its extreme region, typically lying well beyond from even the most extreme available observation. The process of extrapolation plays a fundamental role in this area of analysis and therefore it is essential to fit empirically a convenient probability distribution that describes the available data as closely as possible. Determination of extreme values probability distribution parameters by genetic algorithm is applied to improve the methodology of extreme sea state prediction. Illustrative applications of the method are given for a North Atlantic sea environment. The results are presented as crest height maximum values occurring with a given probability or in a design storm that has a specified return period.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja
POVEZANOST RADA
Projekti:
069-0691736-1667 - Numeričko modeliranje hidrodinamičkog opterećenja i odziva pomorskih objekata (Prpić-Oršić, Jasna, MZOS ) ( CroRIS)
120-1201703-1672 - Dinamika gibanja i opterećenje pučinskih objekata (Čorić, Većeslav, MZOS ) ( CroRIS)
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
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