Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Extreme loads estimation using genetic algorithm approach (CROSBI ID 686669)

Prilog sa skupa u zborniku | ostalo | međunarodna recenzija

Mauro, Francesco ; Braidott, Luca ; Prpić-Oršić, Jasna Extreme loads estimation using genetic algorithm approach // Proceedings of MARSTRUCT 2019 / Parunov, J. ; Guedes Soares, C. (ur.). London : Delhi: Taylor & Francis, 2019. str. 3-11

Podaci o odgovornosti

Mauro, Francesco ; Braidott, Luca ; Prpić-Oršić, Jasna

engleski

Extreme loads estimation using genetic algorithm approach

The analysis of time records, coming from seakeeping experiments in irregular waves, is used to determine the occurrence of extreme events. The common procedure used for data analysis is to assume that the statistics of record’s peaks is following two or three parameters Weibull distribution. For particularly severe sea states, it can happen that the peaks assume a multi-modal distribution and the use of a Weibull distribution may lead to errors in the extreme value estimate. It is than possible to use multimodal distributions, or to change the peaks extraction technique, adopting a certain threshold. Here, the determination of extreme values probability distribution parameters by genetic algorithm is applied to improve the methodology of extreme sea state prediction. A data analysis procedure is here proposed and tested on a time record coming from seakeeping model-scale experiments and on a set of wave heights record, in comparison with standard Weibull approach.

extreme load ; GA ; sea loads

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

3-11.

2019.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of MARSTRUCT 2019

Parunov, J. ; Guedes Soares, C.

London : Delhi: Taylor & Francis

978-0-367-27809-0

Podaci o skupu

7th International Conference on Marine Structures – MARSTRUCT 2019

predavanje

06.05.2019-08.05.2019

Dubrovnik, Hrvatska

Povezanost rada

nije evidentirano