中文版 | English
Title

In Search of a Universal Rough Wall Model

Author
Corresponding AuthorYang, Xiang I. A.
Publication Years
2023-10-01
DOI
Source Title
ISSN
0098-2202
EISSN
1528-901X
Volume145Issue:10
Abstract
This work compares various existing rough-wall models on a large collection of rough surfaces with different characteristics and studies the potential of these models in accommodating new datasets. We consider three empirical roughness correlations, two physics-based models, and one data-driven machine-learning model on 68 rough surfaces inside and outside the Roughness Database1. Results show that correlation-type models and machine-learning models do not extrapolate outside the dataset against which they are calibrated or trained. In contrast, the physics-based sheltering model performs well in extrapolation. Recalibrating a roughness correlation against a large dataset proves unfruitful. However, retraining a machine learning model yields good results. We do not pursue further retraining and recalibrating of a physics-based model, as it requires new physical insights. Overall, our findings suggest that a universal rough-wall model is yet to be found. The capability of extrapolation will likely come from incorporating physics. Data, on the other hand, benefits machine learning models.
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
Funding Project
NSF[2231037] ; NSFC[12102168]
WOS Research Area
Engineering
WOS Subject
Engineering, Mechanical
WOS Accession No
WOS:001050688700005
Publisher
ESI Research Field
ENGINEERING
Data Source
Web of Science
Citation statistics
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/583015
DepartmentSouthern University of Science and Technology
Affiliation
1.Penn State Univ, Dept Mech Engn, University Pk, PA 16802 USA
2.Southern Univ Sci & Technol, Guangdong Prov Key Lab Turbulence Res & Applicat, Shenzhen 518055, Peoples R China
3.Michigan State Univ, Dept Mech Engn, E Lansing, MI 48824 USA
Recommended Citation
GB/T 7714
Yang, Xiang I. A.,Zhang, Wen,Yuan, Junlin,et al. In Search of a Universal Rough Wall Model[J]. JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME,2023,145(10).
APA
Yang, Xiang I. A.,Zhang, Wen,Yuan, Junlin,&Kunz, Robert F..(2023).In Search of a Universal Rough Wall Model.JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME,145(10).
MLA
Yang, Xiang I. A.,et al."In Search of a Universal Rough Wall Model".JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME 145.10(2023).
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