2010
DOI: 10.1016/j.jnnfm.2010.05.008
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A monolithic FEM approach for the log-conformation reformulation (LCR) of viscoelastic flow problems

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Cited by 50 publications
(88 citation statements)
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“…In addition to preserving the positive-definiteness, the log-conformation representation improves the representation of large stress gradients, since it linearizes the exponential stress profiles. The log-conformation representation has been implemented in various finite-volume [39][40][41][42] and finite-element [37,[43][44][45][46][47][48] codes. Alternatively, Vaithianathan and Collins [49] have presented two other schemes that guaranty the positive-definiteness of the conformation tensor, based on matrix decompositions.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to preserving the positive-definiteness, the log-conformation representation improves the representation of large stress gradients, since it linearizes the exponential stress profiles. The log-conformation representation has been implemented in various finite-volume [39][40][41][42] and finite-element [37,[43][44][45][46][47][48] codes. Alternatively, Vaithianathan and Collins [49] have presented two other schemes that guaranty the positive-definiteness of the conformation tensor, based on matrix decompositions.…”
Section: Introductionmentioning
confidence: 99%
“…Since then, many computational techniques based upon this matrix transformation have been published, invariably showing good stability properties for solving challenging problems in viscoelastic flows (e.g. [5][6][7][8][9][10][11][12]). By taking the advantage that the conformation tensor A is a symmetric positive definite tensor, Balci et al [13] proposed a simple and interesting square root matrix transformation.…”
Section: Introductionmentioning
confidence: 99%
“…It is clear that this formula can be evaluated along the same lines as the evaluation of the double integral itself (11). Similar considerations also yield the different derivatives of the exponential mapping as involved in the discretized weak form (9)…”
Section: Linearization and Evaluationmentioning
confidence: 79%
“…Nevertheless, considering the derivatives of eigenvectors, it is known that they become singular in the case of degenerate eigenvalues due to the ambiguity in the eigenvectors. As a remedy for this and for the difficulty of taking the derivative of the matrix-exponential function, first attempts resorted to the approximation of the Jacobian matrix by difference quotients [10,11].…”
Section: Introductionmentioning
confidence: 99%