{"title":"Smoothing and untangling for polyhedral mesh based on element shape transformation","authors":"Rongbo Zhou , Shuli Sun , Shiyu Fu","doi":"10.1016/j.advengsoft.2024.103787","DOIUrl":null,"url":null,"abstract":"<div><div>Mesh smoothing is a critical technique for enhancing mesh quality. Recently, polyhedral meshes have gained prominence in Computational Fluid Dynamics (CFD), with orthogonality being a common metric for evaluating these meshes. This paper introduces an innovative geometric method for smoothing and untangling polyhedral meshes, leveraging element shape transformation to improve orthogonality. The proposed method involves two primary operations. The first operation enhances individual element quality through geometric shape transformation achieved by node movement. This movement direction is determined by a combination of the node's normal vector and a correction vector. Following this transformation, temporary nodes of each element are established, and the node positions are updated using a weighted average of their corresponding temporary node set, a process referred to as element stitching. These operations can be iteratively applied to progressively enhance overall polyhedral mesh quality. The effectiveness and stability of this method are demonstrated through various examples, showing not only an improvement in mesh quality but also the elimination of inverted elements. CFD simulation results further indicate that the enhanced mesh quality positively impacts simulation accuracy.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103787"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965997824001947","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Mesh smoothing is a critical technique for enhancing mesh quality. Recently, polyhedral meshes have gained prominence in Computational Fluid Dynamics (CFD), with orthogonality being a common metric for evaluating these meshes. This paper introduces an innovative geometric method for smoothing and untangling polyhedral meshes, leveraging element shape transformation to improve orthogonality. The proposed method involves two primary operations. The first operation enhances individual element quality through geometric shape transformation achieved by node movement. This movement direction is determined by a combination of the node's normal vector and a correction vector. Following this transformation, temporary nodes of each element are established, and the node positions are updated using a weighted average of their corresponding temporary node set, a process referred to as element stitching. These operations can be iteratively applied to progressively enhance overall polyhedral mesh quality. The effectiveness and stability of this method are demonstrated through various examples, showing not only an improvement in mesh quality but also the elimination of inverted elements. CFD simulation results further indicate that the enhanced mesh quality positively impacts simulation accuracy.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.