Development of drag force model for predicting the flow behavior of porous media based on genetic programming
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gp-bibliography.bib Revision:1.8081
- @Article{HU:2023:powtec,
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author = "Mingjian Hu and Yin Wang and Yewei Li and
Ziyi Pang and Yubin Ren",
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title = "Development of drag force model for predicting the
flow behavior of porous media based on genetic
programming",
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journal = "Powder Technology",
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year = "2023",
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volume = "413",
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pages = "118041",
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month = jan,
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keywords = "genetic algorithms, genetic programming, Seepage, Drag
force model, Porous media, Pressure drop",
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ISSN = "0032-5910",
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DOI = "doi:10.1016/j.powtec.2022.118041",
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URL = "https://www.sciencedirect.com/science/article/pii/S0032591022009226",
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size = "13 pages",
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abstract = "Seepage in soils is a phenomenon related to the
interaction between solid particles and fluid phase.
The present study develops a drag force model by
focusing on the voidage function using a genetic
programing (GP) procedure. A systematic laboratory
seepage tests was carried out on porous media with
different materials by a self-made seepage apparatus.
Based on the database obtained by the numerous seepage
tests, the drag force model was developed with the aid
of symbolic regression in genetic program. The results
indicate that the developed drag force model by GP
method composed of a constant and four gene items has
satisfied performance in predicting the drag behavior
of particles, which is attributed to the GP's
advantages on optimizing both the parameters and
structure of the model. Among the influencing factors,
the gradation coefficient, porosity, and shape
coefficient have a significant effect on the seepage
characteristics of the porous media. The proposed model
in this study could be used to analyze the flow
characteristics of porous media in the field of
geotechnical and ocean engineering",
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notes = "State Key Laboratory of Geomechanics and Geotechnical
Engineering, Institute of Rock and Soil Mechanics,
Chinese Academy of Sciences, Wuhan, Hubei 430071,
China",
- }
Genetic Programming entries for
Mingjian Hu
Yin Wang
Yewei Li
Ziyi Pang
Yubin Ren
Citations