Structure · dataset · 2026
High-resolution numerical models for damage assessment in composite materials
Listed in DMU Figshare and UCL Research Data Repository — shown once because both records carry DOI 10.17034/32629689.v1
This thesis was conducted as part of an Innovative Training Network (ITN) (“ICONIC” - Improving the crashworthiness of composite transportation structures), funded by the European Union’s Horizon 2020 research and innovation programme, under the Marie Sklodowska-Curie grant agreement No 721256.
Description
The reported work was undertaken within Work Package 3 (WP3) - “Numerical modelling of impact and crush behaviour of composite structures”, where the focus was on the high-fidelity modelling of energy absorbing mechanisms of carbon fibre-reinforced polymer (CFRP) composite structures, under a variety of quasi-static and dynamic loading conditions.
This contribution presents several numerical strategies to evaluate the mechanical performance of these materials at their different length scales. The developed tools enable a proper and detailed evaluation of the damage mechanisms which arise in both unidirectional and two-dimensional woven textile composites.<br><br>It is well established that a methodology which can be considered reliable in predicting the structural response of heterogeneous materials depends on the scale at which damage is explicitly modelled, making low-scale models ideal subjects to assess the behaviour of composites.
Read the rest (1 more)
Here, it is shown that computational micro- and mesomechanics can be regarded as a reliable numerical tool to analyse different types of phenomena whose contribution is often neglected in laminate-level analysis. The effect of certain material parameters on the mechanical performance of the material, which are difficult to characterise experimentally, can now be studied, and consequently, this work makes a vital contribution towards the proper exploitation of high-resolution numerical frameworks.
Links
Where it is published
- DOI doi.org/10.17034/32629689.v1 ↗
DOI / persistent id · from figshare dmu ac uk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare dmu ac uk
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Materials Science · Materials Science · Social Science · Social Science
- Inferred from text
- Composite and hybrid materials 76%
Provenance · 2 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DMU Figshare | oai:figshare.com:article/32629689 | 4 d ago | JSON v1 |
| UCL Research Data Repository | oai:figshare.com:article/32629689 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:401602 | enrichment · figshare dmu ac uk | taxonomy-embedding@1.1.0 | title+keywords+description (76%) |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| description | source · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| publication_date | source · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| title | source · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | /metadata/dc/title |