1999
DOI: 10.1016/s0045-7949(98)00235-1
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Adaptive h-version eigenfrequency analysis

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Cited by 26 publications
(22 citation statements)
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“…Therefore they are very different from the usual linear eigenvalue problems, because they possess an infinite number of eigensolutions even though the order of the dynamic stiffness matrix is finite. Hence the higher natural frequencies are obtainable from the transcendental eigenproblem, unlike the linear eigenproblem in which higher natural frequencies can be modelled with reasonable accuracy only by accepting the large computational cost of making the size of elements small enough Wiberg et al, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore they are very different from the usual linear eigenvalue problems, because they possess an infinite number of eigensolutions even though the order of the dynamic stiffness matrix is finite. Hence the higher natural frequencies are obtainable from the transcendental eigenproblem, unlike the linear eigenproblem in which higher natural frequencies can be modelled with reasonable accuracy only by accepting the large computational cost of making the size of elements small enough Wiberg et al, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…This type of post-process is used in other contexts, for instance, in assessing the error L 2 -norm in static problems [60,61] or, in building enhanced vibration modes and eigenfrequencies [62]. In the following, the post-process strategy introduced in [62] is presented.…”
Section: Assessing Space Discretization Errorsmentioning
confidence: 99%
“…This method has been employed to control a p-adaptive strategy [21]. However, this procedure seemed unpractical [22].…”
Section: State Of Knowledgementioning
confidence: 99%
“…At the end of the 1990s Wiberg and coworkers published a series of papers on adaptive methods for natural vibrations [22][23][24][25]. They developed Superconvergent Patch Recovery based method for eigenfrequency error evaluation.…”
Section: State Of Knowledgementioning
confidence: 99%