{"title":"Assessing the methods of extracting attached eddies","authors":"X.X. Li , L. Fang","doi":"10.1016/j.ijheatfluidflow.2025.109983","DOIUrl":null,"url":null,"abstract":"<div><div>The success of the attached eddy model (AEM) and the search for typical representations of attached eddies call for the development of various methods for extracting attached eddies. However, previous studies have not systematically compared these methods in terms of their statistical wall laws for different physical quantities. In particular, the wall laws for arbitrary moments of the velocity gradient and higher-order velocity derivatives in the logarithmic region, derived in our previous study, have not been checked by using these various methods. In the present study, we focus on three methods, that is, the spectral filtering based on streamwise wavelength (SF), proper orthogonal decomposition (POD), and clustering methodology (CM), and assess their ability of capturing the statistical characteristics predicted by the AEM. It is found that based on two-dimensional instantaneous flow fields, the SF method demonstrates the best performance in capturing the statistical laws of velocity gradients and Hessians, followed by CM, while POD proves inadequate for capturing the scaling laws of velocity gradients and Hessians. Moreover, a parametric analysis is carried out to discuss in detail the specific effects of various parameters in each method on the statistical moments. These results are expected to identify key parameters in these methods and contribute to their improvement, enabling better capture of the statistical laws predicted by the AEM.</div></div>","PeriodicalId":335,"journal":{"name":"International Journal of Heat and Fluid Flow","volume":"116 ","pages":"Article 109983"},"PeriodicalIF":2.6000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Heat and Fluid Flow","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142727X25002413","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The success of the attached eddy model (AEM) and the search for typical representations of attached eddies call for the development of various methods for extracting attached eddies. However, previous studies have not systematically compared these methods in terms of their statistical wall laws for different physical quantities. In particular, the wall laws for arbitrary moments of the velocity gradient and higher-order velocity derivatives in the logarithmic region, derived in our previous study, have not been checked by using these various methods. In the present study, we focus on three methods, that is, the spectral filtering based on streamwise wavelength (SF), proper orthogonal decomposition (POD), and clustering methodology (CM), and assess their ability of capturing the statistical characteristics predicted by the AEM. It is found that based on two-dimensional instantaneous flow fields, the SF method demonstrates the best performance in capturing the statistical laws of velocity gradients and Hessians, followed by CM, while POD proves inadequate for capturing the scaling laws of velocity gradients and Hessians. Moreover, a parametric analysis is carried out to discuss in detail the specific effects of various parameters in each method on the statistical moments. These results are expected to identify key parameters in these methods and contribute to their improvement, enabling better capture of the statistical laws predicted by the AEM.
期刊介绍:
The International Journal of Heat and Fluid Flow welcomes high-quality original contributions on experimental, computational, and physical aspects of convective heat transfer and fluid dynamics relevant to engineering or the environment, including multiphase and microscale flows.
Papers reporting the application of these disciplines to design and development, with emphasis on new technological fields, are also welcomed. Some of these new fields include microscale electronic and mechanical systems; medical and biological systems; and thermal and flow control in both the internal and external environment.