1998
DOI: 10.1016/s0045-7825(97)00207-7
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Implementation and adaptivity of a space-time finite element method for structural dynamics

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Cited by 110 publications
(80 citation statements)
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“…Then, the time-discrete variational problem seeks a pair {u for all test pairs {ϕ 1 , ϕ 0 } ∈ W k × W k , where in this particular case we can take W k := V k . Again by adding up the two equations (3.26), we obtain a compact expression for the semidiscrete equations: 27) with the bilinear form and force term defined, respectively, as follows:…”
Section: )mentioning
confidence: 99%
See 1 more Smart Citation
“…Then, the time-discrete variational problem seeks a pair {u for all test pairs {ϕ 1 , ϕ 0 } ∈ W k × W k , where in this particular case we can take W k := V k . Again by adding up the two equations (3.26), we obtain a compact expression for the semidiscrete equations: 27) with the bilinear form and force term defined, respectively, as follows:…”
Section: )mentioning
confidence: 99%
“…For the approximation of problem (3.17) by the cG(1)/dG(0) method (3.31), we have the following a posteriori error representation: 27) with arbitrary {ϕ The proof follows the same line of argument as that of Corollary 4.3 and is therefore omitted. From this error representation we can then derive an a posteriori error estimate analogous to the one derived before in Corollary 4.4 for the cG(1)/cG(1) method.…”
Section: 22mentioning
confidence: 99%
“…Commonly used adaptive algorithms for time dependent problems, see, e.g., [3,50], perform an adaptive refinement process using a prescribed tolerance in every time step. This refinement process is independent of previous and subsequent time steps.…”
Section: Adaptive Algorithmmentioning
confidence: 99%
“…In general, a posteriori error estimates for second order hyperbolic problems are possible for two different discretisation approaches. One of them uses space time Galerkin methods for discretisation and applies similar techniques for error control as in the static case ( [2][3][4][5]). The other one is based on finite differences in time and finite elements in space.…”
mentioning
confidence: 99%
“…The first approach is spacetime finite element method (1) - (4) , in which the spatial and temporal domains are simultaneously discretized and the basis functions are generally adopted to be continuous in space and discontinuous at the discrete time levels. These methods are generally used to solve problems exhibiting discontinuities or sharp gradients in their solutions.…”
Section: Introductionmentioning
confidence: 99%