Artificial Intelligence Application on Sediment Transport
نویسندگان
چکیده
When erosion occurs, sand beaches cannot maintain sufficient width, foreshore slopes become steeper due to frequent effects, and are trapped in a vicious cycle of vulnerability incident waves. Accordingly, beach nourishment can be used as countermeasure simultaneously minimize environmental impacts. However, is not permanent solution requires periodic renourishment after several years. To address this problem, minimizing the period an economical alternative. In present study, using Tuvaluan coast with its cross-sectional gravel site, four different test cases were selected for hydraulic model experiment aimed at discovering effective strategy determine alternative methods. Numerical simulations performed reproduce nourishment; however, none these models simulated sediment transport sand. Thus, artificial neural network, deep learning model, was developed experiments training datasets analyze possibility accomplishing supplement shortcomings numerical models.
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ژورنال
عنوان ژورنال: Journal of Marine Science and Engineering
سال: 2021
ISSN: ['2077-1312']
DOI: https://doi.org/10.3390/jmse9060600