dc.contributor.author | Goutianos, Stergios | |
dc.date.accessioned | 2023-01-16T10:09:25Z | |
dc.date.available | 2023-01-16T10:09:25Z | |
dc.date.created | 2021-12-22T11:05:10Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Data in Brief. 2021, 39 . | en_US |
dc.identifier.issn | 2352-3409 | |
dc.identifier.uri | https://hdl.handle.net/11250/3043638 | |
dc.description.abstract | Cohesive zone modelling is one of the main tools to simulate fracture of materials and structures. As a result a number of cohesive laws are being developed continuously. In most cases, due to experimental challenges, the response under mixed-mode fracture is assumed based on various models and it is unclear if fracture is path independent or not. In the co-submitted publication (Goutianos, 2021) it is shown, based on mixed mode fracture experiments under non-proportional loading, that for unidirectional composites path independence is to a large extent a reasonable assumption. The datasets of this publication are presented here with the aim to provide a set of experimental data, mixed-mode fracture under non-proportional loading, for testing the predictive capabilities of developed mixed-mode cohesive laws. The datasets include the raw mechanical data (force and end-opening displacement), analysed data (fracture resistance from the raw mechanical data), video recordings of the experiments and data from acoustic emission sensors. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier Science | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Fracture resistance dataset of composites under mixed-mode non-proportional loading | en_US |
dc.title.alternative | Fracture resistance dataset of composites under mixed-mode non-proportional loading | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 6 | en_US |
dc.source.volume | 39 | en_US |
dc.source.journal | Data in Brief | en_US |
dc.identifier.doi | 10.1016/j.dib.2021.107668 | |
dc.identifier.cristin | 1971385 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |