CFD-CNN Modeling of the Concentration Field of Multiport Buoyant Jets
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- @Article{yan:2022:JMSE,
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author = "Xiaohui Yan and Yan Wang and
Abdolmajid Mohammadian and Jianwei Liu and Xiaoqiang Chen",
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title = "{CFD-CNN} Modeling of the Concentration Field of
Multiport Buoyant Jets",
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journal = "Journal of Marine Science and Engineering",
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year = "2022",
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volume = "10",
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number = "10",
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pages = "Article No. 1383",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2077-1312",
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URL = "https://www.mdpi.com/2077-1312/10/10/1383",
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DOI = "doi:10.3390/jmse10101383",
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abstract = "At present, there are increasing applications for
rosette diffusers for buoyant jets with a lower density
than the ambient water, mainly in the discharge of
wastewater from municipal administrations and sea water
desalination. It is important to study the mixing
effects of wastewater discharge for the benefit of
environmental protection, but because the multiport
discharge of the wastewater concentration field is
greatly affected by the mixing and interacting
functions of wastewater, the traditional research
methods on single-port discharge are invalid. This
study takes the rosette multiport jet as a research
subject to develop a new technology of computational
fluid dynamics (CFD) modelling and carry out
convolutional neural network (CNN) simulation of the
concentration field of a multiport buoyant jet. This
study takes advantage of CFD technology to simulate the
mixing process of a rosette multiport buoyant jet, uses
CNNs to construct the machine learning model, and
applies RSME, R2 to conduct evaluations of the models.
This work also makes comparisons with the machine
learning approach based on multi-gene genetic
programming, to assess the performance of the proposed
approach. The experimental results show that the models
constructed based on the proposed approach meet the
accuracy requirement and possess better performance
compared with the traditional machine learning method,
and they can provide reasonable predictions.",
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notes = "also known as \cite{jmse10101383}",
- }
Genetic Programming entries for
Xiaohui Yan
Yan Wang
Abdolmajid Mohammadian
Jianwei Liu
Xiaoqiang Chen
Citations