A computational framework for gradient‐enhanced damage
| dc.contributor.author | Schulte, Robin | |
| dc.contributor.author | Ostwald, Richard | |
| dc.contributor.author | Menzel, Andreas | |
| dc.date.accessioned | 2021-05-27T14:08:54Z | |
| dc.date.available | 2021-05-27T14:08:54Z | |
| dc.date.issued | 2021-01-25 | |
| dc.description.abstract | A gradient‐enhanced damage model is combined with finite viscoelasticity and implemented in an Abaqus user subroutine, exploiting the heat equation solution capabilities for the damage regularisation, in order to simulate soft polymers. This regularised damage approach provides the advantage of mesh independent results and avoids localisation effects. In this work, a self‐diagnostic poly(dimethylsiloxane) (PDMS) elastomer is chosen as an example. To this end, an efficient two‐step parameter identification framework is developed to calibrate the corresponding model parameters. | en |
| dc.identifier.uri | http://hdl.handle.net/2003/40209 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-22082 | |
| dc.language.iso | en | de |
| dc.relation.ispartofseries | Proceedings in applied mathematics & mechanics;Vol. 20, 2021, Issue 1, Art. e202000215 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 620 | |
| dc.subject.ddc | 670 | |
| dc.subject.rswk | ABAQUS | de |
| dc.subject.rswk | Polydimethylsiloxan | de |
| dc.subject.rswk | Werkstoffschädigung | de |
| dc.title | A computational framework for gradient‐enhanced damage | en |
| dc.title.alternative | implementation and applications | en |
| dc.type | Text | de |
| dc.type.publicationtype | article | de |
| dcterms.accessRights | open access | |
| eldorado.secondarypublication | true | de |
| eldorado.secondarypublication.primarycitation | Proceedings in applied mathematics & mechanics. Vol. 20, 2021, Issue 1. Special issue: 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics. Art. e202000215 | en |
| eldorado.secondarypublication.primaryidentifier | https://doi.org/10.1002/pamm.202000215 | de |