2012
DOI: 10.1016/j.amc.2012.02.031
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A simple approach for reducing the order of equations with higher order nonlinearity

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Cited by 4 publications
(1 citation statement)
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“…The high-precision modal superposition method [16,26] reduces the actual residual error by expressing the unavailable modes as the sum of the available modes and the system matrix, and expanding them according to the explicit series of their contributions. However, these methods [15,30,31] do not consider further higher order terms, that is, these methods have the problem of truncation and expansion. Modal truncation is more common in continuous structure systems, which will produce nonlinear characteristic problems, and it is difficult to find these characteristic accurately even in a local range.…”
Section: Introductionmentioning
confidence: 99%
“…The high-precision modal superposition method [16,26] reduces the actual residual error by expressing the unavailable modes as the sum of the available modes and the system matrix, and expanding them according to the explicit series of their contributions. However, these methods [15,30,31] do not consider further higher order terms, that is, these methods have the problem of truncation and expansion. Modal truncation is more common in continuous structure systems, which will produce nonlinear characteristic problems, and it is difficult to find these characteristic accurately even in a local range.…”
Section: Introductionmentioning
confidence: 99%