[1]杨忠超.基于EBE策略的有限元法温度场神经网络计算[J].南京理工大学学报(自然科学版),2001,(05):499-503.
 Yang Zhongchao.Neural Network Simulation in Temperature Field Based upon EBE Strategies[J].Journal of Nanjing University of Science and Technology,2001,(05):499-503.
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基于EBE策略的有限元法温度场神经网络计算()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2001年05期
页码:
499-503
栏目:
出版日期:
2001-10-30

文章信息/Info

Title:
Neural Network Simulation in Temperature Field Based upon EBE Strategies
作者:
杨忠超
西南交通大学机械工程学院, 成都610031
Author(s):
Yang Zhongchao
School of Mechanical Engineering,Southwest Jiaotong University,Chengdu 610031
关键词:
有限元 神经网络 热传导 EBE 策略
Keywords:
f inite element method neural netw ork heat conduct EBE st rategies
分类号:
TB115
摘要:
基于Element By Element(EBE)策略 ,提出了一种反馈网络和前向网络共同组成的多层神经网络以实现热传导有限元分析。输入层与中间层的联接权值为单元刚度矩阵与总体刚度矩阵的联系矩阵A ,中间层与输出层的联接权值为A的转置阵 ,中间超单元联接权值为求解问题的单元刚度矩阵。分析和数值仿真结果表明 ,该神经网络稳定收敛于有限元模型解 ,为有限元分析并行计算提供一种新的方法。
Abstract:
Based upon element-by-element( EBE) iterat ive strateg ies, a feedback mult-i layer neural model is proposed for the heat conduct problem FEM analysis. Linking weig ht coeff-i cients LWC between input-layer and middle-layer is the relat ion matrix A betw een the element sif fness matrix and collect ivity st iffness matrix. LWC betw een the output-lay er and the middlelayer is the t ransposit ive matrix. LWC of the middle-layer super-cells is the element stiffness mat rix about the problem resolved. Numerical simulation show s that the method is consistent w ith FEM. This method present s a new w ay for the parallel analysis by FEM.

参考文献/References:

1 Hughes T J R. An element- by- element solut ion algorithms for problems of structural and solid mechanics.Comput Meth Appl Mech Eng in, 1983, 36: 241~ 254
2 Takerchi J, Kosugi Y. Neur al networ k representation of finite element method. Neural Network,1994, 7( 2) : 389~ 402
3 孔祥谦. 有限单元法在传热学中的应用. 北京: 科学出版社, 1998
4 周树荃, 梁维泰, 邓绍忠. 有限元结构分析并行计算.北京: 科学出版社, 1997

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备注/Memo

备注/Memo:
杨忠超 男 28 岁 博士生
更新日期/Last Update: 2013-03-25