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A Spectrally Preconditioned Iterative Reduced Correction Algorithm for Vibro-acoustic Problems

机译:一种频谱预处理迭代校正校正校正算法,用于振动声学问题

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A new iterative method for the prediction of dynamic characteristics of coupled vibro-acoustic systems is presented in this study. The proposed method extracts the eigenvectors in a specified frequency band and it is similar in concept to the well-known eigenvalue solvers, such as the Lanczos method. At each iteration step a reduction subspace is built and the problem is projected onto this subspace which is built up from a combination of the so-called correction vectors and the uncoupled modes. The correction vectors are used to correct the starting uncoupled modes of the coupled physics. In the iterations, the uncoupled modes, correction vectors and frequencies are updated. Correction vectors are found by the use of an iterative solution method. Namely, the conjugate gradient method is used along with spectral expansion properties of the matrices to end up with an extremely efficient preconditioner. However, to save some computational cost, an iteration limit is used for the iterative solution process. These vectors are shown to enrich the reduction space in an iterative sense. Concerning the developed method, some test applications are provided.
机译:本研究介绍了一种新的迭代方法,用于预测耦合的振动声系统的动态特性。所提出的方法提取特定频带中的特征向量,其在概念上与公知的特征值溶剂相似,例如Lanczos方法。在每个迭代步骤中,构建了减少子空间,问题被投影到该子空间上,该子空间由所谓的校正向量和解耦模式的组合构建。校正向量用于校正耦合物理的起始未耦合模式。在迭代中,更新未耦合的模式,校正向量和频率。通过使用迭代解决方法发现校正向量。即,共轭梯度法以及矩阵的光谱膨胀性能,以最终用极其有效的预处理器。但是,为了节省一些计算成本,迭代限制用于迭代解决方案过程。这些载体显示在迭代意义上以丰富的减少空间丰富。关于开发方法,提供了一些测试应用。

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