Abstract
AbstractNowadays scientific and engineering applications often require wave propagation in infinite or unbounded domains. In order to model such applications we separate our model into near‐field and far‐field. The near‐field is represented by the well‐known finite element method (FEM), whereas the far‐field is mapped by a scaled boundary finite element (SBFE) approach. This latter approach allows wave propagation in infinite domains and suppresses the reflection of waves at the boundary, thus being a suitable method to model wave propagation to infinity. It is non‐local in time and space. From a computational point of view, those characteristics are a drawback because they lead to storage consuming calculations with high computational time‐effort. The non‐locality in space causes fully populated unit‐impulse acceleration influence matrices for each time step, leading to immense storage consumption for problems with a large number of degrees of freedom. Additionally, a different influence matrix has to be assembled for each time step which yields unacceptable storage requirements for long simulation times. For long slender domains, where many nodes are rather far from each other and where the influence of the degrees of freedom of those distant nodes is neglectable, substructuring represents an efficient method to reduce storage requirements and computational effort. The presented simulation with substructuring still yields satisfactory results. (© 2009 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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