IMPROVEMENT OF FINITE ELEMENT MESH QUALITY BY USING GEOMETRICAL QUALITY MEASURES AND OPTIMIZATION

多边形网格 有限元法 形状优化 度量(数据仓库) 数学优化 计算机科学 反向 联轴节(管道) 数学 几何学 机械工程 结构工程 工程类 数据挖掘 计算机图形学(图像)
作者
Marko Kegl,Boštjan Harl,Dejan Dinevski
出处
期刊:Proceedings of International Structural Engineering and Construction [ISEC Press]
卷期号:2 (1)
标识
DOI:10.14455/isec.res.2015.213
摘要

This paper discusses possible procedures to improve finite element meshes in order to enable an accurate and stable numerical analysis processes. In general, the process of mesh improvement has to address three main aspects: mesh untangling (removal or fix of inverted finite elements), improvement of element shape, and making the element sizes more uniform. This paper focusses on the last two aspects: improving shape and size uniformity. This problem is addressed from purely geometrical aspect and by engaging optimization methods; thus, stress/strain related finite element quality measures are not considered. Two various element quality measures are discussed with emphasis on their coupling with an adequate optimization procedure. These two measures are the inverse mean ratio measure and the size measure. The first one addresses the shape and size of finite elements, but concentrates more on the shape. The later one, on the other hand, addresses only finite element size. Since mesh improvement tasks are typical multi-objective optimization problems, the paper also addresses briefly the procedure how to transform the multi-objective problem into a usual single-objective one that can be solved by employing standard optimization techniques. In this work a gradient-based approximation method was employed to do the optimization. The discussed theory is numerically tested on simply deformed meshes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
学术小牛完成签到,获得积分10
刚刚
天天快乐应助洁净的白凡采纳,获得30
刚刚
黄兆强完成签到 ,获得积分10
刚刚
Owen应助靖旎采纳,获得10
1秒前
小二郎应助小冯采纳,获得10
1秒前
Ikaros发布了新的文献求助10
1秒前
2秒前
科研通AI6应助AKA采纳,获得10
4秒前
4秒前
Lucas应助大辉采纳,获得10
5秒前
5秒前
5秒前
slycmd发布了新的文献求助10
7秒前
上官若男应助bb采纳,获得10
8秒前
寒冷天亦发布了新的文献求助10
9秒前
白衣修身发布了新的文献求助10
9秒前
10秒前
壮观的夏蓉完成签到,获得积分0
11秒前
搜集达人应助如风采纳,获得10
12秒前
紫薇发布了新的文献求助10
12秒前
学吧发布了新的文献求助10
12秒前
CipherSage应助淡定茉莉采纳,获得10
12秒前
Ikaros完成签到,获得积分10
13秒前
晴空万里完成签到 ,获得积分10
14秒前
14秒前
15秒前
寒冷天亦完成签到,获得积分10
15秒前
sunoopp发布了新的文献求助10
17秒前
活泼的巧曼完成签到,获得积分10
18秒前
正直的蚂蚁完成签到,获得积分20
18秒前
19秒前
19秒前
19秒前
Yasmine完成签到 ,获得积分10
20秒前
bb发布了新的文献求助10
20秒前
20秒前
六尺巷发布了新的文献求助10
21秒前
22秒前
乔an发布了新的文献求助30
22秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 6000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
The Political Psychology of Citizens in Rising China 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5637298
求助须知:如何正确求助?哪些是违规求助? 4743192
关于积分的说明 14998742
捐赠科研通 4795599
什么是DOI,文献DOI怎么找? 2562070
邀请新用户注册赠送积分活动 1521546
关于科研通互助平台的介绍 1481548