Analytical Solutions of a Conduction Problem with Two Different Kinds of Boundary Conditions

Z. Fu, Q. Zhong, Sheng-shui Chen
{"title":"Analytical Solutions of a Conduction Problem with Two Different Kinds of Boundary Conditions","authors":"Z. Fu, Q. Zhong, Sheng-shui Chen","doi":"10.31031/ACET.2018.02.000532","DOIUrl":null,"url":null,"abstract":"Conduction problems are widely encountered in science and engineering, such as heat transfer through conductive materials [1] and water flow through porous media [2]. Such physical processes are governed by similar differential equations and are studied traditionally by seeking the mathematical solutions. However, analytical solutions can only be derived under very limited simple boundary and initial conditions [3]. Therefore, much efforts have been spent in developing numerical tools since the popularization of computers [4], and the finite element method (FEM) is, probably, the most successful and widely used one [5]. Use of the FEM usually needs the discretization of both the space and the time, and a more refined mesh and a smaller time step generally yield more exact numerical results. However, this is not the case for conduction problems as unreasonable oscillatory results are often obtained for a given mesh if the time step is smaller than a threshold value [6-9]. For instance, use of four-noded rectangular elements for conduction problems without causing oscillatory results needs the time increment (Δt) larger than L2c/(2k), while for eight-noded elements the threshold is reduced to L2c/(20k). Herein, L denotes the characteristic length of elements while c and k are volumetric capacity and conductivity coefficient of the concerned material [7]. The dilemma, on the other hand, is that a small enough time step is required for numerical convergence for problems where nonlinear material behavior presents [8-10]. It was found that the traditional mass-distributing scheme, which yields the so-called consistent mass matrix, may generate an incorrect neighboring nodal response even though the physical laws are correctly applied at the elementary level. Pan et al. [9] therefore suggested two new mass-distributing schemes which were free of numerical oscillation. Alternatively, mass lumping techniques yielding a diagonal mass matrix were employed by many other authors to remove the possible numerical oscillation [11-13]. Some special techniques were also proposed in the framework of finite element method (known as the stabilized finite element methods) to repress the unphysical oscillations, as recently reviewed and compared by Sendur [14].","PeriodicalId":163364,"journal":{"name":"Advancements in Civil Engineering & Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advancements in Civil Engineering & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31031/ACET.2018.02.000532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Conduction problems are widely encountered in science and engineering, such as heat transfer through conductive materials [1] and water flow through porous media [2]. Such physical processes are governed by similar differential equations and are studied traditionally by seeking the mathematical solutions. However, analytical solutions can only be derived under very limited simple boundary and initial conditions [3]. Therefore, much efforts have been spent in developing numerical tools since the popularization of computers [4], and the finite element method (FEM) is, probably, the most successful and widely used one [5]. Use of the FEM usually needs the discretization of both the space and the time, and a more refined mesh and a smaller time step generally yield more exact numerical results. However, this is not the case for conduction problems as unreasonable oscillatory results are often obtained for a given mesh if the time step is smaller than a threshold value [6-9]. For instance, use of four-noded rectangular elements for conduction problems without causing oscillatory results needs the time increment (Δt) larger than L2c/(2k), while for eight-noded elements the threshold is reduced to L2c/(20k). Herein, L denotes the characteristic length of elements while c and k are volumetric capacity and conductivity coefficient of the concerned material [7]. The dilemma, on the other hand, is that a small enough time step is required for numerical convergence for problems where nonlinear material behavior presents [8-10]. It was found that the traditional mass-distributing scheme, which yields the so-called consistent mass matrix, may generate an incorrect neighboring nodal response even though the physical laws are correctly applied at the elementary level. Pan et al. [9] therefore suggested two new mass-distributing schemes which were free of numerical oscillation. Alternatively, mass lumping techniques yielding a diagonal mass matrix were employed by many other authors to remove the possible numerical oscillation [11-13]. Some special techniques were also proposed in the framework of finite element method (known as the stabilized finite element methods) to repress the unphysical oscillations, as recently reviewed and compared by Sendur [14].
具有两种不同边界条件的传导问题的解析解
传导问题在科学和工程中广泛存在,如导电材料中的传热[1]和多孔介质中的水流[2]。这种物理过程是由类似的微分方程控制的,传统上是通过寻求数学解来研究的。然而,解析解只能在非常有限的简单边界和初始条件下导出[3]。因此,自计算机普及以来,人们在开发数值工具方面付出了很大的努力[4],而有限元法(FEM)可能是最成功和应用最广泛的一种方法[5]。采用有限元法通常需要对空间和时间进行离散化,网格越精细,时间步长越小,数值结果越精确。然而,对于传导问题并非如此,因为对于给定的网格,如果时间步长小于阈值,通常会得到不合理的振荡结果[6-9]。例如,使用四节点矩形单元来解决导通问题而不引起振荡结果需要大于L2c/(2k)的时间增量(Δt),而对于八节点单元,阈值降低到L2c/(20k)。式中,L为元素的特征长度,c、k为材料的体积容量和电导率系数[7]。另一方面,难题在于,对于材料表现出非线性行为的问题,需要足够小的时间步长来进行数值收敛[8-10]。发现传统的质量分配方案,即所谓的一致质量矩阵,即使在初级水平上正确应用物理定律,也可能产生不正确的相邻节点响应。Pan等[9]因此提出了两种新的没有数值振荡的质量分布方案。另外,许多其他作者采用产生对角质量矩阵的质量集总技术来消除可能的数值振荡[11-13]。Sendur[14]最近回顾和比较了在有限元方法框架内提出的一些特殊技术(称为稳定有限元方法)来抑制非物理振荡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信