2022
DOI: 10.1016/j.enganabound.2021.09.021
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A selective smoothed finite element method for 3D explicit dynamic analysis of the human annulus fibrosus with modified composite-based constitutive model

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Cited by 11 publications
(5 citation statements)
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“…Building on other recent studies, we have considered nonlinear elastics properties and tetrahedral element type for the model due to computational resource limitations. We aim to incorporate more realistic lumbar spine modeling in our future studies 52–55 . In addition, based on the data from different individuals and multiple models of the lumbar spine will help to validate the results of the FE studies.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Building on other recent studies, we have considered nonlinear elastics properties and tetrahedral element type for the model due to computational resource limitations. We aim to incorporate more realistic lumbar spine modeling in our future studies 52–55 . In addition, based on the data from different individuals and multiple models of the lumbar spine will help to validate the results of the FE studies.…”
Section: Discussionmentioning
confidence: 99%
“…We aim to incorporate more realistic lumbar spine modeling in our future studies. [52][53][54][55] In addition, based on the data from different individuals and multiple models of the lumbar spine will help to validate the results of the FE studies.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…The finite element method, often known as FEM [29][30][31][32][33], is an essential strategy for numerical analysis of a wide range of issues in civil engineering, in addition to other subfields of engineering. A significant portion of this investigation is focused on the effect of the hollow core's structure.…”
Section: Methodsmentioning
confidence: 99%
“…Later on, the combination of strain/gradient smoothing and FEM is named smoothed FEM (SFEM) 54 . SFEMs can be classified into different types based on the distinct constructions of SDs, for example, cell‐based SFEM (CS‐FEM), 58‐72 node‐based SFEM (NS‐FEM), 73‐81 edge‐based SFEM (ES‐FEM), 82‐89 face‐based SFEM, 88‐91 α$$ \alpha $$FEM, 92‐94 β$$ \beta $$FEM, 95,96 and selective SFEM 97‐100 . Different constructions of SDs lead to different extents of softening.…”
Section: Introductionmentioning
confidence: 99%
“…54 SFEMs can be classified into different types based on the distinct constructions of SDs, for example, cell-based SFEM (CS-FEM), [58][59][60][61][62][63][64][65][66][67][68][69][70][71][72] node-based SFEM (NS-FEM), [73][74][75][76][77][78][79][80][81] edge-based SFEM (ES-FEM), [82][83][84][85][86][87][88][89] face-based SFEM, [88][89][90][91] 𝛼FEM, [92][93][94] 𝛽FEM, 95,96 and selective SFEM. [97][98][99][100] Different constructions of SDs lead to different extents of softening. Therefore, these SFEMs perform differently due to diverse extents of softening.…”
Section: Introductionmentioning
confidence: 99%