2010
DOI: 10.1016/j.cma.2010.03.020
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Wavelet transformation based multi-time scaling method for crystal plasticity FE simulations under cyclic loading

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Cited by 49 publications
(34 citation statements)
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“…(26). Adaptive methodologies have been developed in [1] to improve the efficiency and reduce the number of degrees of freedom in the WATMUS method. Only those wavelet coefficients of nodal displacements that evolve, are selected and retained in the function representations.…”
Section: Wavelet Transformation Based Multi-time Scale (Watmus) Methomentioning
confidence: 99%
See 3 more Smart Citations
“…(26). Adaptive methodologies have been developed in [1] to improve the efficiency and reduce the number of degrees of freedom in the WATMUS method. Only those wavelet coefficients of nodal displacements that evolve, are selected and retained in the function representations.…”
Section: Wavelet Transformation Based Multi-time Scale (Watmus) Methomentioning
confidence: 99%
“…Such simulations may become computationally prohibitive using conventional time integration schemes in FEM codes. In [1,2], a wavelet transformation based multi-time scale or WATMUS method has been developed to reduce the problem to a set of low frequency, coarse time-scale governing equations. In the WATMUS scheme, any time…”
Section: Wavelet Transformation Based Multi-time Scale (Watmus) Methomentioning
confidence: 99%
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“…Yet, the computational intractability associated with solving a nonlinear problem is substantial due to the large number of time steps required to model a structure's entire life. This intractability has been addressed using a number of fast time integration methods including cycle jump methods [1][2][3], manifold-based multitemporal methods [4], wavelet transformation based approaches [5,6], and computational homogenization based multiple temporal scale methods [7,8]. Computational homogenization based on mathematical homogenization theory [9][10][11] offers a powerful multiscale modeling approach.…”
Section: Introductionmentioning
confidence: 99%