{"title":"Perspectives of Peridynamic Theory in Wind Turbines Computational Modeling","authors":"Mesfin Belayneh Ageze, Migbar Assefa Zeleke, Temesgen Abriham Miliket, Malebogo Ngoepe","doi":"10.1007/s11831-024-10129-z","DOIUrl":null,"url":null,"abstract":"<div><p>The applications of wind turbines are consistently increasing across the globe. Competent and sustainable wind energy harnessing inherently requires the implementation of optimal design and advanced materials. To minimize all the risks associated with severe environmental loadings, reduced cost, and improved performance, advanced computational methodologies should be utilized as a part of the analysis process. The recently introduced non-local theory called Peridynamic (PD) theory crafted by Silling has interesting advantages over the conventional computational method such as the finite element method (FEM) and finite volume method (FVM). PD theory is a computational and theoretical framework where partial differential equations (PDEs) of classic continuum theory are replaced by integral equations. Unlike the local continuum theory, the integro-differential equations of PD theory are without derivatives of displacement function, hence suitable to capture discontinuities. Therefore, the present paper reviews the structural and aerodynamics of wind turbines, the existing computational challenges that are related to the modeling and analysis of wind turbines, and finally examines the potential use of Peridynamic theory concerning wind turbines.</p></div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"32 1","pages":"1 - 33"},"PeriodicalIF":9.7000,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Computational Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s11831-024-10129-z","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The applications of wind turbines are consistently increasing across the globe. Competent and sustainable wind energy harnessing inherently requires the implementation of optimal design and advanced materials. To minimize all the risks associated with severe environmental loadings, reduced cost, and improved performance, advanced computational methodologies should be utilized as a part of the analysis process. The recently introduced non-local theory called Peridynamic (PD) theory crafted by Silling has interesting advantages over the conventional computational method such as the finite element method (FEM) and finite volume method (FVM). PD theory is a computational and theoretical framework where partial differential equations (PDEs) of classic continuum theory are replaced by integral equations. Unlike the local continuum theory, the integro-differential equations of PD theory are without derivatives of displacement function, hence suitable to capture discontinuities. Therefore, the present paper reviews the structural and aerodynamics of wind turbines, the existing computational challenges that are related to the modeling and analysis of wind turbines, and finally examines the potential use of Peridynamic theory concerning wind turbines.
期刊介绍:
Archives of Computational Methods in Engineering
Aim and Scope:
Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication.
Review Format:
Reviews published in the journal offer:
A survey of current literature
Critical exposition of topics in their full complexity
By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.