2009
DOI: 10.1007/s00466-009-0412-5
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Extracting the left and right critical eigenvectors from the LDU-decomposed non-symmetric Jacobian matrix in stability problems

Abstract: In the previous publications of the authors, an eigenanalysis-free computational procedure has been proposed to extract the bifurcation buckling mode(s) from the LDL Tdecomposed symmetric stiffness matrix in the vicinity of a stability point. Any eigensolver, for instance, inverse iteration or subspace method, is not necessary. The procedure has been verified in numerical examples and well works in multiple and clustered bifurcation problems too. This present paper will extend the eigenanalysis-free procedure … Show more

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Cited by 4 publications
(1 citation statement)
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References 40 publications
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“…The eigenvector is necessary in the judgment of whether the critical point is a bifurcation point or a load limit point, and it is used as a perturbation to access to the bifurcated path. An efficient numerical method, L D U ‐mode extraction method, proposed by Fujii et al is used to compute the critical eigenvector at the bifurcation point. By this method, we can obtain critical left and right eigenvectors of the nonsymmetric matrix separately in an effective approximating way avoiding computationally costly direct eigenanalysis.…”
Section: Numerical Bifurcation Analysis Proceduresmentioning
confidence: 99%
“…The eigenvector is necessary in the judgment of whether the critical point is a bifurcation point or a load limit point, and it is used as a perturbation to access to the bifurcated path. An efficient numerical method, L D U ‐mode extraction method, proposed by Fujii et al is used to compute the critical eigenvector at the bifurcation point. By this method, we can obtain critical left and right eigenvectors of the nonsymmetric matrix separately in an effective approximating way avoiding computationally costly direct eigenanalysis.…”
Section: Numerical Bifurcation Analysis Proceduresmentioning
confidence: 99%