Výsledky vyhledávání - "M.Rizky Syarifudin"

The Application of A Combined Computational Fluid Dynamics (CFD) Artificial Neural Network (ANN) to Increase The Prediction Accuracy of Sediment Grading in Subsea Pipes: A Literature Review

Autor: Wimala L. Dhanistha, M.Rizky Syarifudin, Nathalia Damastuti, Ridho Akbar

Publikováno v: IJEEIT : International Journal of Electrical Engineering and Information Technology. 5:70-77

In recent years, the implementation of subsea pipelines for oil and gas transportation has increased. One of the important aspects of the design process of the subsea pipeline is scour prediction. Scouring causes the subsea pipeline to lose its suppo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6451056b906ca48dc7b29bf11a856d8a
https://doi.org/10.29138/ijeeit.v5i2.1966

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