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  • 2017: 6th Engineering, Science and Technology Conference - Panama (ESTEC 2017)
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A Comparative Study on Fatigue Damage using a Wave Load Sequence Model

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Author
De Gracia, Luis
Osawa, Naoki
Tamaru, Hitoi
Fukasawa, Toichi
De Gracia, Luis
Osawa, Naoki
Tamaru, Hitoi
Fukasawa, Toichi
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Abstract
Despite that ships get the approval of classification societies and structural members are designed to survive random environmental conditions for twenty or twenty-five years, fatigue crack damage still occurs. Nowadays, the operation based on weather routing programs has become important, not only to avoid adverse sea conditions that can cause damage, time loss or significant speed reduction but also to improve the crew safety. In this paper, S-N based fatigue assessment of a welded joint in an ocean going is performed. It is assumed that the ship sails following a planned route and a route based on weather conditions. Short sea sequences are generated by a storm model called “4G Storm Model”, proposed by one of the co-authors (De Gracia et al., 2017). Stress histories are generated considering the stochastical nature of the wave direction variation. Cumulative fatigue damage is performed following a classification society rule. Based on these results, the effect of ship routing and headings model on the S-N fatigue assessment is discussed. Keywords: Weather routing, fatigue, cumulative damage, storm model, wave sequence model.
URL
https://knepublishing.com/index.php/KnE-Engineering/article/view/1422
10.18502/keg.v3i1.1422
URI
http://ridda2.utp.ac.pa/handle/123456789/4249
Collections
  • 2017: 6th Engineering, Science and Technology Conference - Panama (ESTEC 2017) [115]
License
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/

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  • Redes Sociales

  • facebook.com/UTPrepositorio
  • @utprepositorio

Recolectado por:

El OAI de este repositorio: http://ridda2.utp.ac.pa/oai/
Repositorio Institucional de Documentos Digitales de Acceso Abierto de la Universidad de Tecnológica de Panamá.
Este repositorio utiliza la Licencia CC BY-NC-SA y funciona bajo DSpace.

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