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A fully adaptive rational global Arnoldi method for the model-order reduction of second-order MIMO systems with proportional damping

机译:具有比例阻尼的二阶MIMO系统模型阶降阶的完全自适应有理全局Arnoldi方法

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摘要

The model order reduction of second-order dynamical multi-input and multi-output (MIMO) systems with proportional damping arising in the numerical simulation of mechanical structures is discussed. Based on finite element modelling the systems describing the mechanical structures are large and sparse, either undamped or proportionally damped. This work concentrates on a new model reduction algorithm for such second order MIMO systems which automatically generates a reduced system approximating the transfer function in the lower range of frequencies. The method is based on the rational global Arnoldi method. It determines the expansion points iteratively. The reduced order and the number of moments matched per expansion point are determined adaptively using a heuristic based on some error estimation. Numerical examples comparing our results to modal reduction and reduction via the rational block Arnoldi method are presented.
机译:讨论了在机械结构数值模拟中具有比例阻尼的二阶动态多输入多输出(MIMO)系统的模型阶降。基于有限元建模,描述机械结构的系统既大又稀疏,无阻尼或成比例阻尼。这项工作集中在针对这种二阶MIMO系统的新模型简化算法上,该算法可自动生成一个简化的系统,该系统近似于较低频率范围内的传递函数。该方法基于有理全局Arnoldi方法。它迭代地确定扩展点。基于某种误差估计,使用启发式方法自适应地确定降阶和每个扩展点匹配的矩数。给出了将我们的结果与模态归约和通过有理块Arnoldi归约进行比较的数值示例。

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