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Data-driven discovery of the governing equation of granular flow in the homogeneous cooling state using sparse regression

文献类型：期刊论文

作者Zhao, Bidan1,2,3; He, Mingming3; Wang, Junwu1,2,3
刊名PHYSICS OF FLUIDS
出版日期2023
卷号35期号:1页码:6
ISSN号1070-6631
DOI10.1063/5.0130052
英文摘要With the arrival of the era of big data and the rapid development of high-precision discrete simulations, a wealth of high-quality data is readily available, but discovering physical laws from these data remains a great challenge. In this study, an attempt is made to discover the governing equation of the granular flow for the homogeneous cooling state from discrete element method (DEM) data through sparse regression. It is shown that not only the governing equation but also the energy dissipation rate can be obtained accurately from DEM data for systems having different physical properties of particles and operating conditions. The present work provides the evidence that the macroscopic governing equation and the constitutive relation of granular flow can be discovered from microscopic data using a purely data-driven method.
WOS关键词BIDISPERSE ARRAYS ; NEURAL-NETWORKS ; SIMULATIONS ; MODELS
资助项目National Key R&D Program of China[2021YFB1715500] ; National Natural Science Foundation of China[11988102] ; National Natural Science Foundation of China[21908223] ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences[IAGM2022D02]
WOS研究方向Mechanics ; Physics
语种英语
出版者AIP Publishing
WOS记录号WOS:000911212900011
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences
源URL[http://ir.ipe.ac.cn/handle/122111/56638]  
通讯作者Wang, Junwu
作者单位1.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Innovat Acad Green Manufacture, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, POB 353, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Bidan,He, Mingming,Wang, Junwu. Data-driven discovery of the governing equation of granular flow in the homogeneous cooling state using sparse regression[J]. PHYSICS OF FLUIDS,2023,35(1):6.
APA Zhao, Bidan,He, Mingming,&Wang, Junwu.(2023).Data-driven discovery of the governing equation of granular flow in the homogeneous cooling state using sparse regression.PHYSICS OF FLUIDS,35(1),6.
MLA Zhao, Bidan,et al."Data-driven discovery of the governing equation of granular flow in the homogeneous cooling state using sparse regression".PHYSICS OF FLUIDS 35.1(2023):6.

入库方式： OAI收割

来源：过程工程研究所

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