Data · dataset · 2022
Maximum Tensile Stress In Plain-weave Composite Laminates With Interacting Holes
Listed in Teesside University Research Data Repository
Plain weave composite is a strong and long-lasting type of fabric composite. which is stable enough when being handled.
Description
Plain weave composites with open-hole have been widely used due to their application in industry. Drilling notches not only reduces the structural performance of these materials but also makes the design process more complex.
An extensive number of material and geometry parameters have been generally utilized for designing composites containing notches, thereby an efficient computational tool is essential for that purpose. 8960 Finite Element (FE) simulations were carried out inside the ABAQUS software through employing python macro code to provide a data-rich framework for material characterization of the plain-weave composite structures.
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The Dataset contains the material and geometrical changes along with the maximum tensile stress. Also, we have included the top two stacked ML models for performing a prediction of the dataset which can be used by engineers to optimize the designing process. For further reading, you can find the relevant article on the author's ResearchGate webpage.
Links
Where it is published
- DOI doi.org/10.17632/vznd6z234n.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Machine learning
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/vznd6z234n.1 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |