2008
DOI: 10.1016/j.cma.2008.05.012
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A regularized XFEM framework for embedded cohesive interfaces

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Cited by 79 publications
(83 citation statements)
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“…The second function is taken from Benvenuti [12]. This function also depends on two parameters and n. The lower the value of n, the steeper will be the function for the same width .…”
Section: Different Classes Of Regularized Step Functionsmentioning
confidence: 99%
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“…The second function is taken from Benvenuti [12]. This function also depends on two parameters and n. The lower the value of n, the steeper will be the function for the same width .…”
Section: Different Classes Of Regularized Step Functionsmentioning
confidence: 99%
“…They used a tangent hyperbolic type function for the enrichment. Benvenuti [12] also used a similar function for simulating the embedded cohesive interfaces. Waisman and Belytschko [13] proposed a parametric adaptive strategy for capturing high gradient solutions.…”
mentioning
confidence: 99%
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“…The key concept underlying regularization of discontinuous and highly localized functions is simple: the Dirac delta function is replaced by a weight function whose support is governed by a length parameter ρ, while the standard Heaviside function is constructed by integration of such a weight function. For vanishing ρ, the Heaviside and delta functions are recovered [17]. Regularization obviously introduces approximations in the computation.…”
Section: Introductionmentioning
confidence: 99%
“…Regularized XFEM is also an effective alternative to nonlocal and cohesive crack-models [13][14][15][16]. The key concept underlying regularization of discontinuous and highly localized functions is simple: the Dirac delta function is replaced by a weight function whose support is governed by a length parameter ρ, while the standard Heaviside function is constructed by integration of such a weight function.…”
Section: Introductionmentioning
confidence: 99%