中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development of drag force model for predicting the flow behavior of porous media based on genetic programming

文献类型:期刊论文

作者Hu, Mingjian; Wang, Yin; Li, Yewei; Pang, Ziyi; Ren, Yubin
刊名POWDER TECHNOLOGY
出版日期2023
卷号413
关键词Seepage Drag force model Genetic programming Porous media Pressure drop
ISSN号0032-5910
英文摘要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 selfmade 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.
学科主题Engineering
语种英语
WOS记录号WOS:000932960800006
出版者ELSEVIER
源URL[http://119.78.100.198/handle/2S6PX9GI/34850]  
专题中科院武汉岩土力学所
作者单位1.Chinese Academy of Sciences; Wuhan Institute of Rock & Soil Mechanics, CAS;
2.Dalian University of Technology
推荐引用方式
GB/T 7714
Hu, Mingjian,Wang, Yin,Li, Yewei,et al. Development of drag force model for predicting the flow behavior of porous media based on genetic programming[J]. POWDER TECHNOLOGY,2023,413.
APA Hu, Mingjian,Wang, Yin,Li, Yewei,Pang, Ziyi,&Ren, Yubin.(2023).Development of drag force model for predicting the flow behavior of porous media based on genetic programming.POWDER TECHNOLOGY,413.
MLA Hu, Mingjian,et al."Development of drag force model for predicting the flow behavior of porous media based on genetic programming".POWDER TECHNOLOGY 413(2023).

入库方式: OAI收割

来源:武汉岩土力学研究所

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