Title | Data-driven constitutive relation reveals scaling law for hydrodynamic transport coefficients |
Author | |
Corresponding Author | Zheng, Candi |
Publication Years | 2023-01-17
|
DOI | |
Source Title | |
ISSN | 2470-0045
|
EISSN | 2470-0053
|
Volume | 107Issue:1 |
Abstract | Finding extended hydrodynamics equations valid from the dense gas region to the rarefied gas region remains a great challenge. The key to success is to obtain accurate constitutive relations for stress and heat flux. Data-driven models offer a new phenomenological approach to learning constitutive relations from data. Such models enable complex constitutive relations that extend Newton's law of viscosity and Fourier's law of heat conduction by regression on higher derivatives. However, the choices of derivatives in these models are ad hoc without a clear physical explanation. We investigated data-driven models theoretically on a linear system. We argue that these models are equivalent to nonlinear length scale scaling laws of transport coefficients. The equivalence to scaling laws justified the physical plausibility and revealed the limitation of data-driven models. Our argument also points out that modeling the scaling law could avoid practical difficulties in data-driven models like derivative estimation and variable selection on noisy data. We further proposed a constitutive relation model based on scaling law and tested it on the calculation of Rayleigh scattering spectra. The result shows our data-driven model has a clear advantage over the Chapman-Enskog expansion and moment methods. |
URL | [Source Record] |
Indexed By | |
Language | English
|
SUSTech Authorship | First
; Corresponding
|
WOS Research Area | Physics
|
WOS Subject | Physics, Fluids & Plasmas
; Physics, Mathematical
|
WOS Accession No | WOS:000923229600014
|
Publisher | |
ESI Research Field | PHYSICS
|
Data Source | Web of Science
|
Citation statistics |
Cited Times [WOS]:0
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/501409 |
Department | Department of Mechanics and Aerospace Engineering |
Affiliation | 1.Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Xueyuan Rd 1088, Shenzhen, Peoples R China 2.Hong Kong Univ Sci & Technol, Dept Math, Clear Water Bay, Hong Kong 999077, Peoples R China |
First Author Affilication | Department of Mechanics and Aerospace Engineering |
Corresponding Author Affilication | Department of Mechanics and Aerospace Engineering |
First Author's First Affilication | Department of Mechanics and Aerospace Engineering |
Recommended Citation GB/T 7714 |
Zheng, Candi,Wang, Yang,Chen, Shiyi. Data-driven constitutive relation reveals scaling law for hydrodynamic transport coefficients[J]. PHYSICAL REVIEW E,2023,107(1).
|
APA |
Zheng, Candi,Wang, Yang,&Chen, Shiyi.(2023).Data-driven constitutive relation reveals scaling law for hydrodynamic transport coefficients.PHYSICAL REVIEW E,107(1).
|
MLA |
Zheng, Candi,et al."Data-driven constitutive relation reveals scaling law for hydrodynamic transport coefficients".PHYSICAL REVIEW E 107.1(2023).
|
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