摘要
为了提高电阻层析成像有限元计算精度,模拟相邻激励模式下敏感场内电流线的分布密度与分布形式,设计了一种新型拓扑结构的有限元模型。仿真与实际实验结果表明:相同实验条件下,新型拓扑结构的有限元模型与其他模型相比,提高了三角形有限元的质量,从而降低了有限元的形状误差,更有利于场域中场矢量变化的平稳过渡;降低了敏感场均匀分布时模型均方根值,提高了电阻层析成像正问题的计算精度;提高了对不同典型流型的反演效果。
In order to improve the calculation accuracy of electrical resistance tomography system and simulate the distribution of current lines in the sensing field, a new topology structure finite element model was designed. Experimental results show that, under the same condition, comparing to the other models, it effectively improves the quality of triangle finite element which deduces shape error and is benefit to smooth transition of field vector. In addition, it also reduces root mean square and improves the accuracy of the forward problem in electrical resistance tomography, and hence, improves the performance of evolution of different typical flow regime.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2011年第20期100-106,共7页
Proceedings of the CSEE
基金
基金项目:国家自然科学基金项目(60820106002
60532020
50937005)
"青蓝工程"
天津市自然科学基金项目(11JCYBJC06900)~~
关键词
电阻层析成像
有限元
敏感场
拓扑结构
形状
误差
electrical resistance tomography （ERT）
finite element
sensing field
topology structure
shape error
