2009
DOI: 10.1080/15502280802575422
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Algorithms by Design: Part II—A Novel Normalized Time Weighted Residual Methodology and Design of a Family of Symplectic-Momentum Conserving Algorithms for Nonlinear Structural Dynamics

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Cited by 14 publications
(28 citation statements)
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“…We show and explain in [59,81,82], that a different representation for the update of the unkowns are preferable to help foster angular momentum conservation, thereby avoiding errors due to acceleration computations.…”
Section: Computational and Implementation Aspectsmentioning
confidence: 98%
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“…We show and explain in [59,81,82], that a different representation for the update of the unkowns are preferable to help foster angular momentum conservation, thereby avoiding errors due to acceleration computations.…”
Section: Computational and Implementation Aspectsmentioning
confidence: 98%
“…The DNA parameters {W, , λ} are given as shown in Algorithms 9 and 10 for the U0 family of algorithms and the V0 family of algorithms, respectively. This approach fails to provide proper extensions for nonlinear dynamic situations in contrast to the latter two approaches that are described next [59,[80][81][82].…”
Section: Approach 1: Classical Framework-classical Time Weighted Resimentioning
confidence: 99%
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“…The last equation in (113) may be regarded as an unconstrained formulation with two dependent field variables in the time domain; thus we have the hybrid two-field problem within the Hamiltonian framework. In general, the time weighted-residual method [Tamma et al 2000;Masuri et al 2009a;2009b] or the time finite element procedure [Simkins 1981;Aharoni and Bar-Yoseph 1992] can be applied to (113) for developing time stepping schemes. In the presence of nonconservative forces such as contact forces on the contact boundary surfaces of nonholonomic systems, we have…”
Section: Space-discrete Finite Element Formulation In the Three Formamentioning
confidence: 99%
“…Finally, it is also the objective in this exposition to investigate and outline all possible outcomes of algorithm designs with energy-momentum conserving features within the GSSSS framework, which encompasses this particular class of LMS methods. Other efforts dealing with symplectic-momentum conserving attributes and related algorithm designs within this class of LMS methods are described elsewhere in [3][4][5].…”
Section: Introductionmentioning
confidence: 99%