【摘要】 有限元法是常用的建模方法,由于所建模型具有较大的自由度,通常需要进行降阶处理.一般来讲,模型前几阶特征值和特征向量可以较精确地得到,利用所得到的特征值和主振型分量(在特征向量中与所给定的主自由度对应的振型分量),本文提出了一种新的动态凝聚方法,该方法是通过迭代方式,利用所得到的特征值和主振型分量对Guyan降阶法所得到的降阶模型进行修正.与同类方法相比,本文方法具有较高的计算精度和很小的计算量,且迭代收敛的稳定性很好.最后本文给出了一个计算实例.更多还原

【Abstract】 Finite element method is an usual model-built method,in which the reduction transaction is necessary for the acquired model as it has a larger degrees of freedom(d.o.f.),and generally speaking, the first several eigenvalues and eigenvectors can be accurately gained.In the paper, a new dynamic condensation method is presented based on the eigenvalues and master-mode-part (the parts corresponding to master d.o.f. in eigenvectors),and the reduction model obtained by Guyan reduction can be updated by aid of an iterative method,the eigenvalues and master-mode-part. Compared with congeneric other methods, the presented method has a higher calculation precision, smaller calculation efforts and better calculation stability. In the last, an example is given to show the effectiveness of the presented algorithms.更多还原