2013
DOI: 10.1002/nme.4561
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A constrained‐optimization methodology for the detection phase in contact mechanics simulations

Abstract: International audienceThe detection phase in computational contact mechanics can be subdivided into a global search and a local detection. When potential contact is detected by the former, a rigorous local detection determines which surface elements come or may come in contact in the current increment. We first introduce a rigorous definition of the closest point for non-differentiable lower-dimensional manifolds. We then simplify the detection by formulating an optimization problem subject to inequality const… Show more

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Cited by 6 publications
(5 citation statements)
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“…Nevertheless, even if the closest local minimum lies outside the feasible region, the current segment is then rejected and a new projection is sought in the next adjacent element segment. It should be noted that another approach formulating an optimization problem with inequality constraints can be found in Reference .…”
Section: Tested Methodsmentioning
confidence: 99%
“…Nevertheless, even if the closest local minimum lies outside the feasible region, the current segment is then rejected and a new projection is sought in the next adjacent element segment. It should be noted that another approach formulating an optimization problem with inequality constraints can be found in Reference .…”
Section: Tested Methodsmentioning
confidence: 99%
“…As shown in Fig. 1, the location of mismatching mesh nodes can be directly determined along the interface g in mesh coupling problems, whereas for contact problems the closest node projection [1,92] to an element edge is used to determine the location of enriched nodes at either side of contact surfaces.…”
Section: The Finite-dimensional Interface-enriched Generalized Finite...mentioning
confidence: 99%
“…We use a generalized Newton method to solve the nonlinear contact load increment following the procedure outlined in Algorithm 1 which is now described. At each load increment we create enriched nodes using the closest projection method [1,92] to determined their location (refer to Fig. 3).…”
Section: Contactmentioning
confidence: 99%
“…In our implementation, a computational geometric engine creates enriched nodes along the non-conforming interfaces or along contact surfaces, so that each enriched node corresponds to a standard mesh node on the surface of the opposite domain. As shown in Figure 1, the location of mismatching mesh nodes can be directly determined along the interface Γ g in mesh coupling problems, whereas for contact problems the closest node projection [1,92] to an element edge is used to determine the location of enriched nodes at either side of contact surfaces.…”
Section: The Finite-dimensional Interface-enriched Generalized Finite...mentioning
confidence: 99%
“…We use a generalized Newton method to solve the nonlinear contact load increment following the procedure outlined in Algorithm 1 which is now described. At each load increment we create enriched nodes using the closest projection method [1,92] to determined their location (refer to Figure 3). Integration elements are created afterwards, similarly to the procedure just discussed for the coupling of non-conforming meshes.…”
Section: Contactmentioning
confidence: 99%