Tailoring Unstructured Meshes for Use with 3D Co-Volume Methods for Engineering Analysis

定制非结构化网格以与 3D 共体积方法一起用于工程分析

• 批准号: EP/K000705/1
• 负责人: O Hassan
• 金额: $ 33.8万
• 依托单位: Swansea University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK000705%2F1
• 关键词: Tailoring; Unstructured; Meshes; Use; 3D

Computational techniques have become increasingly important with the rapid advancements in technology in areas such as computational fluid dynamics and computational electromagnetic. Over many years, various approaches have been developed for the solution of the governing equations. The most efficient techniques require a structured subdivision of the domain. This normally constrains the problem to simple geometries. Unstructured type meshes provide the geometrical flexibility necessary for simulating the full range of industrial problems. However, simulations involving geometries of industrial interest can be expected to place severe demands on current computational resources, in terms of both cpu time and memory requirements.The present proposal aims at developing a new meshing technique that enable the use of co-volume solution schemes on unstructured meshes, hence, maintaining the efficiency of the structured based solution algorithms and the flexibility of the unstructured subdivision of complex industrial geometries.

随着计算流体力学和计算电磁学等领域技术的快速发展，计算技术变得越来越重要。多年来，已经开发了各种方法来求解控制方程。最有效的技术需要对域进行结构化的细分。这通常将问题限制为简单的几何形状。非结构型网格提供了模拟各种工业问题所需的几何灵活性。然而，涉及工业利益的几何形状的模拟可以预期对当前的计算资源提出了严格的要求，在CPU时间和存储器需求方面，本建议旨在开发一种新的网格化技术，该技术能够在非结构化网格上使用共体积求解方案，因此，保持了基于结构化的求解算法的效率和复杂工业几何形状的非结构化细分的灵活性。

项目成果

Reduced order mesh optimisation using proper orthogonal decomposition and a modified cuckoo search

• DOI: 10.1002/nme.4400
• 发表时间: 2013-02
• 期刊: International Journal for Numerical Methods in Engineering
• 影响因子: 2.9
• 作者: S. Walton;O. Hassan;K. Morgan

Selected Engineering Applications of Gradient Free Optimisation Using Cuckoo Search and Proper Orthogonal Decomposition

使用布谷鸟搜索和适当正交分解的无梯度优化的工程应用精选

• DOI: 10.1007/s11831-013-9083-7
• 发表时间: 2013
• 期刊: Archives of Computational Methods in Engineering
• 影响因子: 9.7
• 作者: Walton S

A second-order face-centred finite volume method on general meshes with automatic mesh adaptation

具有自动网格自适应功能的通用网格二阶面心有限体积法

• DOI: 10.1002/nme.6428
• 发表时间: 2020
• 期刊: International Journal for Numerical Methods in Engineering
• 影响因子: 2.9
• 作者: Giacomini M

An effective 3D leapfrog scheme for electromagnetic modelling of arbitrary shaped dielectric objects using unstructured meshes

• DOI: 10.1007/s00466-015-1216-4
• 发表时间: 2015-12
• 期刊: Computational Mechanics
• 影响因子: 4.1
• 作者: A. Gansen;M. E. Hachemi;Salim Belouettar;O. Hassan;Kenneth Morgan

Advances in co-volume mesh generation and mesh optimisation techniques

• DOI: 10.1016/j.compstruc.2016.06.009
• 发表时间: 2017-03
• 期刊: Computers & Structures
• 影响因子: 4.7
• 作者: O. Morgan;Sean Walton;O. Hassan;K. Morgan