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Neural network estimation of the scour cone geometry around outlet in the pressure flushingView Crossref metadata(active tab) <div id="edit-xml" class="form-item form-type-item"> <?xml version="1.0"?> <doi_batch version="4.4.1" xmlns="http://www.crossref.org/schema/4.4.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.4.1 http://www.crossref.org/schemas/crossref4.4.1.xsd"><head><doi_batch_id>000692</doi_batch_id><timestamp>1713857108</timestamp><depositor><depositor_name>University of the Aegean</depositor_name><email_address>uoa@university.com</email_address></depositor><registrant>Global NEST Journal</registrant></head><body><journal><journal_metadata><full_title>Global NEST Journal</full_title><full_title>Global NEST: the international Journal</full_title><issn media_type="print">1790-7632</issn><issn media_type="electronic">2241-777X</issn></journal_metadata><journal_issue><titles><title>Issue 4</title></titles><publication_date><month>12</month><year>2024</year></publication_date><journal_volume><volume>14</volume></journal_volume><issue>4</issue></journal_issue><journal_article><titles><title>Neural network estimation of the scour cone geometry around outlet in the pressure flushing</title></titles><abstract xmlns="http://www.ncbi.nlm.nih.gov/JATS1"><p>When flushing carry out as pressure condition, a scour cone is performed around the outlet. As the flow around the outlet in the pressure flushing is three dimensional, therefore that it is difficult to establish a general empirical model to provide accurate estimation for scour cone volume and length. In this study artificial neural network (ANN) with multi-layer perception which using backpropagation algorithm (MLP/BP) was used. The scour cone volume (Vf) and length (Lf) were modeled as a function of three variables; water depth (HW), mean flow velocity through outlet (uf) and mean grain diameter (D50). For training and testing model, experimental data in two forms of original and non-dimensional are selected. The results of this research indicate that MLP/BP model can predict the scour cone volume and length. Finally, sensitivity analysis with original and nondimensional data set show that mean flow velocity through outlet (uf) and uf / √(g (Gs-1)D50) have a greater influence on scour cone volume and length rather than other parameters. </p></abstract><publication_date><month>04</month><day>30</day><year>2013</year></publication_date><pages><first_page>540</first_page><last_page>549</last_page></pages><publisher_item><identifier id_type="pii">765</identifier></publisher_item><doi_data><doi>10.30955/gnj.000765</doi><timestamp>1713857108</timestamp><resource>https://journal.gnest.org/publication/765</resource></doi_data></journal_article></journal></body></doi_batch> </div>
