1996
DOI: 10.1016/0045-7825(95)00955-8
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A space-time finite element method for structural acoustics in infinite domains part 1: Formulation, stability and convergence

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Cited by 37 publications
(32 citation statements)
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“…Essentially, the continuity of u andu is weakly enforced by means of energy inner products (cf. [13] and [22] for details). Hence, the variational form of the problem given in Equations (1)-(3) may be written as follows.…”
Section: Variational Formulationmentioning
confidence: 98%
See 1 more Smart Citation
“…Essentially, the continuity of u andu is weakly enforced by means of energy inner products (cf. [13] and [22] for details). Hence, the variational form of the problem given in Equations (1)-(3) may be written as follows.…”
Section: Variational Formulationmentioning
confidence: 98%
“…Therein, unconditional stability has been proved for a Galerkin least-squares version of this method for elastodynamic problems. In [22], it has been extended to exterior Helmholtz problems. The governing differential equation is multiplied by time derivatives of the weighting functions w and integrated over each space-time slab.…”
Section: Variational Formulationmentioning
confidence: 99%
“…One of the reasons for that is that low-order ÿnite element methods exhibit poor dispersion properties [10], while higher-order classical ÿnite elements raise some troublesome problems like the occurrence of spurious waves. Recently, space-time and Galerkin= least-squares ÿnite element methods, related to Hamilton's principle, have been introduced both for acoustic and full elastic wave propagation [11][12][13] with some success, even though application of these methods to realistic seismological problems have still to be shown.…”
Section: Introductionmentioning
confidence: 99%
“…One could, for example, use boundary elements of infinite size (but with an artificial, finite, centroid), or use mapping/squashing functions to map an infinite space into a new, finite one. These and other strategies put forward in the FEM community (e.g., [1,7,6,17]), however, are beyond the scope of this article.…”
Section: Exact Markov Model Of Approximate Optimisermentioning
confidence: 99%