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Paper
title

FATIGUE ASSESSMENT OF FIXED OFFSHORE PLATFORMS USINGAN ARTIFICIAL NEURAL NETWORK (ANN) TECHNIQUE

Credit to Download: 1 | Page Numbers 5 | Abstract Views: 318
Year: 2014
COI code: ICOPMAS11_320
Paper Language: English

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Authors FATIGUE ASSESSMENT OF FIXED OFFSHORE PLATFORMS USINGAN ARTIFICIAL NEURAL NETWORK (ANN) TECHNIQUE

Babak Safari Afshar - Master of Science of marine structures - Islamic Azad University, Sciences & Researches Branch (SRB), Tehran
  Naser Shabakhty - Assistant professor - University of Sistan and Baluchestan

Abstract:

One of the paramount parts of design for offshore structures is fatigue analysis in such a way thataccording to a report from UK Health and Safety Executive Organization, it is the most majordamaging structural factor to the installed offshore structures in the North Sea [1].

Keywords:

Fatigue, Marine Fixed Platform, Artificial Neural Network

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https://www.civilica.com/Paper-ICOPMAS11-ICOPMAS11_320.html
COI code: ICOPMAS11_320

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Safari Afshar, Babak & Naser Shabakhty, 2014, FATIGUE ASSESSMENT OF FIXED OFFSHORE PLATFORMS USINGAN ARTIFICIAL NEURAL NETWORK (ANN) TECHNIQUE, 11th International Conference on Coasts, Ports and Marine Structures, تهران, سازمان بنادر و دريانوردي, https://www.civilica.com/Paper-ICOPMAS11-ICOPMAS11_320.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Safari Afshar, Babak & Naser Shabakhty, 2014)
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