基于Neumann级数展开的模型缩聚方法

MODEL REDUCTION BASED ON NEUMANN SERIES EXPANSION

提出一种基于Neumann级数展开的模型缩聚方法。利用Neumann级数展开来建立振型中测量部分和缩聚部分之间的关系,推导了二阶近似的模型缩聚公式并用算例进行了验证。结果表明,所提方法显著提高了缩聚模型的精度。

A model reduction technique was presented, in which the second-order approximate reduction equation is derived by using Neumann series expansion. A numerical simulation case of a plane truss structure was given to verify the proposed method. The results show that the second-order approximate reduction is of better accuracy more accurate than the first-order approximate reduction.