COI code: ICOPMAS11_320
Paper Language: English
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Authors FATIGUE ASSESSMENT OF FIXED OFFSHORE PLATFORMS USINGAN ARTIFICIAL NEURAL NETWORK (ANN) TECHNIQUEBabak 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 .
Keywords:Fatigue, Marine Fixed Platform, Artificial Neural Network
COI code: ICOPMAS11_320
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
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)
Second and more: (Safari Afshar & Shabakhty, 2014)
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